Method and apparatus for identifying relationships in data based on time-dependent relationships

FIELD: information technology.

SUBSTANCE: apparatus includes a subject record database, a time-dependent relationship identifier, an event predictor, a coded subject record database, a decision support system processor and a user interface. The time-dependent relationship identifier processes the data in the subject record database to identify time-dependent relationships in the data. Information indicative of the identified relationships is processed by the processor and presented to a user via the user interface.

EFFECT: identifying relationships in subject information which includes event data indicative of an event experienced by the subject, outcome data indicative of an outcome experienced by the subject, and intervention data indicative of an intervention applied to the subject.

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The present invention relates to the detection of time-dependent relationships between data and presentation of information on them. Despite the fact that it finds particular application of the systems decision support in medicine, it applies to other situations in which it is desirable to extract the information indicating the relationships in the data related to different objects.

Attempts to introduce a system of decision support in clinical conditions encountered resistance from users. In order for such systems have been approved for use in clinical practice, it is necessary to represent information that was previously unavailable medical professionals, and presented this information as applied to real infrastructure.

In recent years there has been an increase in the implementation of the medical databases of records of patients, such as hospital information system (HIS), clinical information system (CIS), etc. As the information indicating the status of various patients, usually stored in these and similar systems, they usually contain a storehouse of clinical information on each of the cases. However, unfortunately, extract information and present it in a clinically significant form can be confusing.

Cm.Montani and Portinale,Accounting for the Temporal Dimension in Case-Based Retrieval: A Framework for Medical Applications,Computational Intelligence, Volume 22, Number 3/4 (2006). However, there remain opportunities for improvement.

Reviewed and other matters discussed in the embodiments of this application.

In one embodiment, the present application proposes a device for detecting relationships in the object information, which includes information about the event, showing the incident from an object, event, data about the outcome, indicating the onset of object selection, and data on the impact of testifying applied to the object exposure. The device contains a filter performing temporal filtering of data on the outcome of the events that occurred at the facility, and associator, revealing the relationship between the event, outcome and impact as a function of event data, past temporal filtering of data on outcome and impact data. Associator generates output information indicating the identified relationships.

In another embodiment, marinecote the first storage medium contains the commands which when executed by a computer cause the computer implements the method. This method includes identifying information about the object, indicating about the object from which the event occurred, the Exodus occurred on the event object and the determination of the fact of occurrence of the identified cases during the time interval of outcomes. This method also includes associating the identified outcome impact on results of determination of the time interval of outcomes and the presentation of evidence of this connection.

In another embodiment, the method includes retrieving information about patients from a retrospective database of the patient record containing patient information on the patient population, the processing of patient information to identify time-dependent relationships between events patients events, specific outcomes occurred in patients events and applied for specific events therapeutic procedure, which probably influenced the outcomes occurred in patients events. This method also includes for each patient population stored in an encrypted database of the patient record output information indicating no interaction occurred between the patient event, the outcome of the spiral is tion occurred in a patient event and applied on a specific event treatments, which probably influenced the outcome occurring in a patient event.

In another embodiment, the device contains the ID of the time-dependent relationships for processing patient information from the database of the patient record that stores information about patients, including event data of patients, data on applied effects and data about the outcomes of patients in the patient population, in order to identify the events patients events that occurred in the patients outcomes in a time interval of outcomes, defined as a function of treatment on this event, and applied to patient treatment. The device also contains an encrypted database of object records for storage in each of the patient population identified events identified outcome and the applied treatment.

In another embodiment, a machine-readable storage medium contains a data structure, which is the set of objects includes information about the event, showing the incident from an object, event, data about the outcome, indicating the onset of the object selection during the interval of outcomes, defined as a function of exposure for this event, and the exposure data indicate applied to the object exposure. Occurred in outcomes of interest are selected from the set and the moves describing the outcomes of events, and applied to objects effects are selected from a variety of influences.

After reading and understanding the below detailed description of the specialists in this field will become clear and other variants of the present invention.

The present invention can be implemented in different components and combinations of components, and in various steps and combinations of steps. The drawings are intended only to illustrate preferred embodiments and should not be construed as limiting the present invention.

In FIG. 1 depicts a system for decision support.

In FIG. 2 depicts the relationships between the events, outcomes and impacts.

In FIG. 3A, 3B and 3C shows the timing relationship.

In FIG. 4 shows the ID of the time-dependent relationships.

In FIG. 5 depicts a method.

In FIG. 6 depicts a method.

In FIG. 7 depicts a method.

As shown in FIG. 1, the system 100 decision support includes a base 102 of the data records of the object, the identifier 104 time-dependent relationships, encrypted database 106 data records of interest, the processor 108 system decision support and user interface 110. As shown, the various components of system 100 are located remotely from each other and inter is astout through the appropriate network or network 112, such as the Internet, intranet or other interface. It should also be understood that one or more components may reside in one place, for example to be part of one and the same computer or be in the same network.

The base 102 of the data records of interest, which is usually stored on an appropriate computer-readable storage medium, contains retrospective information 1141-Nabout the object for each of multiple objects, such as patients, people, inanimate objects, systems or networks (or parts thereof), etc. Information 114 about the objects can be stored in the corresponding source or sources, or may be obtained from the appropriate source or sources, and the formats and data structures that are used to record objects, usually related to a specific system. In a medical application, for example, information 114 about the objects may include clinical data stored in the hospital information system (HIS), clinical information system (CIS), radiology information system (RIS), storage and transmission of images (PACS), laboratory results or tests, records of doctors or nurses, instructions, data, images, data systems, monitoring of patients and other

As shown, information is 114 about the objects includes demographic data 116 objects, data 118 about events of interest, the data 120 about the effects on the objects, the data 122 on the outcomes of interest data 124 on the temporal relationships and data 126 measurements.

Demographic data 116 facilities include demographic information about the object. Again in the medical use of demographic data 116 may include information such as the patient's age, gender, history of disease or stage of disease, behavioral information, or information about risk factors, etc.

Data 118 about events of interest include data indicating one or more undesirable or other episodes that occurred at the facility. In a medical application, for example, the sequences can include one or more of the events requiring treatment or any impact from the clinical physician.

Data 120 about the effects on objects describe the impact (influence) or therapeutic procedure (s)applied to the object.

The data 122 on the outcomes of interest describe the state of an object within one or more time periods from the history of the object.

Data 124 on the temporal relationships describe the temporal relationship (correlation) between one or more effects 120 and outcomes 122. Although for clarity this is illustrated separately, the data 124 on the temporal relationships can be included in or who yvegeny of data 118 about events, data 120 on the impacts and data 122 about the outcomes, for example, when one or more of the data 118, 120, 122 include temporal information.

Data 126 measurements include information based on the results of the qualitative or quantitative measurement of the object. Again in a medical application, for example, the measurement may include measuring blood pressure, the clinical impression of the physician about the patient's condition and other

As will be clear below, the base 102 of the data records of interest in many cases contains a significant amount of historical data on individual cases in relation to events, outcomes and impacts, which were obtained during standard or other clinical practice for a number of objects. However, some or all of the events, impacts and outcomes for a given object to have almost no relationship to it. Therefore, given the impact may not necessarily help in achieving a specific outcome. In other words, the onset of an object has a particular outcome may not or almost not have occurred to the patient event or applied treatment.

Although it may be useful to learn about events, impacts and outcomes that have taken place at various objects, clinical physician, employee Junior or middle managers or other host d is a group of persons, the relationship between them, if it exists, is also an important component of the evaluation process or decision. For example, a simple presentation of information about (potentially) not with each other or unrelated outcomes, events, and effects can in many cases be overloaded clinical or other user in substantially side data. Therefore, in the field of medicine predicative question can be formulated as follows: can there be a reasonable basis to expect clinical connection or relationship between the incident the patient event, applied to patient exposure and the onset of the patient's outcome?

Thus, it may also be useful to identify and/or provide information not only about similar objects and their impacts and outcomes, but did impact after the event to achieve the desired outcome or would they otherwise be associated with a desirable outcome. When presenting the information listed above decision-makers face, for example, with respect to the system of decision making support decision-making person will be able to use data about interactions to assess possible ways of action in connection with the proposed treatment of interest of the object.

As shown nafig. 1, the identifier 104 time-dependent relationships 104 uses time-dependent information 190, based on known clinical or other relationships or arising therein, to perform a priori information processing 114 about the objects in order to identify significant relationships in the data information 114 about the objects. In other words, the identifier 104 time-dependent Association identifies communication information 114 about the objects, such as the relationship between events, outcomes and impacts in relation to time-dependent information 190. Note that information 190 may be collected and stored on a machine-readable storage medium base 102 data locally in the structure of the identifier 104 time-dependent relationships or otherwise.

As will be described in more detail below, the identifier 104 time-dependent correlations obtained from temporal relationship information is used to generate information indicating a clinical, medical or other connections between what is happening at different objects, events, relevant outcomes and impacts that are likely to affect these outcomes or to have a different attitude. Data 1501-zrelations of objects indicating the identified different objects relationships are represented in the encoded base 106 the data records of interest for further processing and/or view.

Encoded base 106 of the data records of interest, which is usually stored on an appropriate computer-readable storage medium, receives data communications from the identifier 104 time-dependent relationships. Data communications contain information indicating the relationship between event-outcome-impact on aggregate objects. As shown in FIG. 1, for example, encoded base 106 record data object contains data 1501-zrelations between multiple objects that describe the relationship between events 152, outcomes 154 and 156 on various objects in the database 102 of the data records of interest. In addition, as shown, the data 150 liaison objects contain other data 160, such as some or all of the demographic data 116 of the object data 124 of time measurements and data 126 measurements. Note that these relations can also be attached to the data 114 on the object and stored in the database 102 of the data records of the object.

The tool 130 prediction of events is optional to analyze or search data 150 for relations of objects on different objects in order to identify common combinations of data preceding the event and/or following him. The results of this analysis can be performed using the methods of finding data, such as principal component analysis (PCA), art is ment neural networks, knowledge and experience in the subject area and the like, is used to generate predictors 158 future events and/or effectiveness of potential impacts. The means 130 for predicting events determines in an encrypted database 106 record data objects predictors 158 for those objects that have identical or similar relationship event-impact-outcome. As will be clear below, the predictors 158 may be associated with those impacts that are expected to apply to obtain a favorable (or, conversely, adverse) outcome.

In one embodiment, the means 130 for predicting events functions a priori using the links generated by the identifier 104 relationships. In another embodiment, a device for predicting events operates in conjunction with the request to support decision-making.

System 108 decision support analyses the data received from the coded base 106 data records of patients and represents an important clinical information to the physician or other user through an appropriate user interface 110, such as a computer or workstation, pocket PC, etc.

An example of time-dependent information 190 and, in particular, contained in it-dependent BP is like the relationship between events, outcomes and impacts are described below with reference to FIG. 2.

As shown, many of the 200 events contains one or more events 2021-Q.

Many 2041-Qimpacts describe many effects or therapeutic procedures 2061-Mused in response to corresponding events 2021-Qmany of the 200 events. The number and nature of impacts 2061-Min a given set 204 effects are usually determined by the event and, as a rule, are established a priori on the basis of such factors as practice and experience in the subject area, expertise, etc. With each impact 206 associated time steps 208, which describes the time required to effect 206 had clinical or other action on the object. In addition, the magnitude of the time steps 2081-Mas a rule, are characteristic for the corresponding impacts 2061-Mand are determined a priori based on practice and experience in the subject area, pharmacological or other data, expertise, etc.

Critical periods (CIP) 2091-Qimpacts describe the time intervals that follow the events 2021-Qwhere exposure 206 should prevent an unwanted outcome of an object. Again in a medical application, for example, CIP 209 describes the period of time during which impacts the Wier 206 should be used to prevent personal injury or death of the patient.

Many 2101-Qoutcomes describe the set of outcomes 2121-Por conditions of objects in one or more time points following the event 202. The number and nature of outcomes 2121-Pin the set 210 of outcomes are usually determined by the event and, as a rule, are established a priori based on knowledge in the subject area.

In one example, the set of outcomes may include at least first Exodus, which describes the improvement of the facility, the second Exodus, which describes the status quo, and the third state, which describes the deterioration of the object. Outcomes can also be classified as desirable outcomes and undesirable outcomes, with this classification, and in this case is determined by the specific event and/or subject area. In the above, for example, the first outcome can be classified as a desirable outcome, while the second and third outcomes can be classified as spam.

The above relationship is illustrated below by the example in which event 202 includes the episode of the patient-a person with acute hypotension. The set elements 204 impacts may include impacts 206, such as the use of intravenous fluids, inotropic drugs, beta-agonists, camp-dependent inhibitors fo phodiesterase and alpha-adrenoceptor agonist. The duration of intravenous fluids may be thirty (30) minutes, duration of inotropic drugs may be ten (10) minutes, etc. CIP 209 for acute hypotension may be fifteen (15) minutes, otherwise the patient may occur irreversible damage or even death. The elements of the set 210 of outcomes may include selections 212, such as checking blood pressure of the patient to the original level, no significant changes in blood pressure or constant drop in blood pressure. Note that the above impacts, the magnitude of the time steps and the time intervals are presented solely for the purpose of explanation and are not necessarily clinically accurate.

Examples of temporal relations that can be taken into account identifier 104 time-dependent relationships described below with reference to FIG. 3A, 3B and 3C. In FIG. 3A shows 209 CIP, following the occurrence of an event 202. Again in the example of an episode of acute hypotension CIP 209 may be fifteen (15) minutes.

In FIG. 3B and 3C the time interval 302 outcomes describes the time interval following the occurrence of an event 202 or the influence of 320 within which the response object can be properly assessed. In other words, the interval 302 outcomes can be considered as an interval or period of time and, coming within which a desired outcome can be considered with a certain probability resulting from the applied impact, not external or random factors, either related to this, the influence of other (clinical).

The first example sets the interval 302 outcome is described below in FIG. 3V. In the first example, the total interval 302 outcomes set as a function of different influences 206 in numerous 204 impacts. Interval 302 outcomes measured after the occurrence of an event 202 and does not depend on time, which was actually applied specific impacts 206.

Interval 302 outcome is a function 209 CIP, as well as minimum 304 and maximum 306 intervals of time steps 208 impacts 206 in numerous 204 impacts. Beginning 308 interval 302 outcomes is limited by the minimum of 304 units (i.e. the shortest amount of time steps 208 impacts 206 in numerous 204 impacts. The end 310 of the interval 302 outcomes is limited by the amount of the maximum 306 units (i.e. the longest amount of time steps 208 impacts 206 in numerous 204 impacts and CIP 209. The interval 302 outcomes can be expressed as follows:

Equation 1

OI = max(TE 1,2...M) - min(TE 1,2...M) + CIP,

where OI is the interval of outcomes, and TE 1,2...Mrepresents the amount of time dei is the major 208 1-Mimpacts 206 in numerous 204 effects.

Again in the example of acute hypotension minimal clinical effect 208 impacts in many 204 effects, it may be ten (10) minutes, maximum clinical effect 208 impacts 206 may be thirty (30) minutes, and CIP 209 may be fifteen (15) minutes. Thus, the interval 302 outcomes is limited by the length of time, beginning ten (10) minutes after the occurrence of the events 202 and ending forty-five (45) minutes after the occurrence of the event 202, and has a length of thirty-five (35) minutes.

In the second exemplary definition of a range of outcomes intervals 302 outcomes are established for different impacts 206 in numerous 204 impacts. This also assumes that in this example the moment (moments) in time at which it was applied the effect (impact) 206 may be determined from the database 102 data records of patients or, otherwise, to be known. In this example, the interval 302 outcomes is measured from the point in time at which it was applied to specific impacts 206.

The following describes a second example for the impact of 206nmany 204 impacts with reference to FIG. 3C. As shown, the interval 302 outcome is a function of the minimum 312 and maximum 34 time steps 208 specific impacts 206 n. Beginning 308 interval 302 outcomes is limited by the minimum duration (312 impacts 206n. The end 310 of the interval 302 outcomes is limited by the maximum time steps 314 impacts 206n. The interval 302 outcomes can be expressed as follows:

Equation 2

OI=TE, Max-TE, Min,

where OI represents the interval of outcomes, TE, Maxrepresents the maximum time steps 314 impacts 206nand TE, Minrepresents the minimum time steps 312 impacts 206n. Note that when using interval 302 outcomes, defined in accordance with this example, the impact applied at the time after CIP 209, usually identified and ignored, especially under adverse outcome at object.

Again in the example of acute hypotension with the use of intravenous fluids expected minimum duration 312 may be twenty (20) minutes, and the expected maximum time steps 314 may be forty (40) minutes. Thus, the interval 302 outcomes is limited by the length of time that begins after twenty (20) minutes after exposure to 320 and ending forty (40) minutes after exposure to 320, and has a duration of twenty (20) minutes.

Specialists in the art, after whom the duty to regulate to understand what other options are available as described above definition interval 302 outcomes. In the second case, for example, the interval 302 outcomes can be measured from the occurrence of events 202 by estimating time before applying 322 impacts 206n. As another example, the intervals 302 outcome can be defined for one or more subsets of the impacts 206 in numerous 204 effects.

The identifier 104 time-dependent relationships described below with reference to FIG. 4. As shown, the identifier 104 of Association contains a selector 402 records of interest, the filter 404 event identifier 408 interval of outcomes, time filter 405 outcomes, the filter 407 impacts and associator 406 event-impact-outcome. As described above, the data 190 about events in the subject area describe one or more events 202, the corresponding set of influences 204, 209 CIP and many 210 outcomes.

The selector 402 records selects objects information objects 114 of the base 102 of the data records of interest in order to conduct analysis.

The filter 404 event uses the information 190 in the subject area as a resource. On the basis of information 190 in the subject area of the filter 404 event filters or otherwise processes the data 118 about events on various objects to determine the occurrence of the event of interest 202 in a given volume of the KTA. One example of the event of interest 202 is acute hypotension. On the basis of information 190 in the subject area of acute hypotension is defined, for example, as a fall in blood pressure of at least 20% relative to the original level within less than 15 minutes. This definition is generated in the information 190 in the subject area through a wide recognition of the meaning of this concept in the medical community, in the course of case studies or other means, or by combination of any of these factors. Based on this definition of acute hypotension in information 190 in the subject area of the filter 404 event processing data 118 events with the aim of determining the occurrence of the specified event object 202 that corresponds to the definition of acute hypotension in information 190 subject area.

Identifier 408 interval outcomes 204 uses many influences, time steps 208 and/or information about CIP 209 to determine the interval 302 outcomes, for example, as described above with reference to FIG. 3. In accordance with the current example, acute hypotension information 190 in the subject area also includes information about the relevant impacts (effects), time steps 208 and 209 CIP. As explained above, the set elements 204 impacts in the information 190 subject area m which may contain impacts 206, such as the use of intravenous fluids, inotropic drugs, beta-agonists, camp-dependent phosphodiesterase inhibitors and alpha-adrenoceptor agonist. The duration of intravenous fluids may be thirty (30) minutes, duration of inotropic drugs may be ten (10) minutes, etc. CIP 209 for acute hypotension may be fifteen (15) minutes, otherwise the patient may occur irreversible damage or even death. And in this case such information is formed in the information 190 in the subject area through the medical community, in the course of case studies or other means, or by combination of any of these factors. In accordance with this, when using information 190 in the subject area (and, in particular, information on the impact, time of action and CIP related to acute hypotension) as a reference identifier 408 interval outcomes can determine the characteristic of acute hypotension interval 302 outcomes with temporary relationships and methods discussed above with reference to FIG. 3. For example, as explained with reference to FIG. 3B, the interval 302 outcomes is limited by the length of time that starts 10 minutes after the occurrence of the event and ends 45 minutes after the occurrence of the event, if the minimum time is I clinical steps 208 is 10 minutes, the maximum time clinical steps 208 is 30 minutes, and CIP is 15 minutes.

Because the corresponding interval 302 outcomes defined time filter 405 outcomes filters or processing data 122 about the outcomes of different objects to determine the occurrence of the specified object 212 outcome from a variety of 210 deaths during interval 302 outcomes (for example, starting 10 minutes after the occurrence of the event and ends 45 minutes after the event). Filtering may be implemented, for example, by searching for information 114 of the specified object to identify outcomes 212, which are elements of the set 210 of outcomes and occurred during the interval 302 outcomes. That is, in the current example, a time filter 405 outcomes 122 processes the data about the outcomes to identify outcomes 212 of the time interval beginning 10 minutes after the event and ends 45 minutes after the event.

The filter 407 effects filters or otherwise processes the data 120 on the impact of different objects to determine whether the application to the specified object impacts 206 (e.g., use of intravenous fluids, inotropic drugs, beta-agonists, camp-dependent phosphodiesterase inhibitors and alpha-agonists) from a variety 204 impacts. totem, what impact applied from outside 209 CIP, can be ignored.

Associator 406 event-action-outcome links occurring in different event objects with the relevant outcomes and impacts. In particular, with reference to the example associator 406 150 generates data communications objects for the specified object, if this object came the event of interest 202, the object came Exodus 212 from a variety of 210 deaths during interval 302 outcomes and to this object has been applied impact 206 from a variety 204 effects.

Note that although it has been shown that different filters 404, 405, 407 operate in parallel, one or more filters in other cases can operate sequentially in the given order. For example, the filter 404 may identify those records which contain the event of interest, a time filter 405 outcomes can search for information 114 of the identified objects to identify the objects, which in the interval 302 deaths occurred meaningful outcomes, etc.

Below with reference to FIG. 5 will be described the operation.

At step 502 for the event of interest is formed by the set of outcomes. The set of outcomes can be remembered, for example, in a suitable memory or other machine-readable storage media is.

At step 504 produces many effects of a specified event, which can be stored on the media storage.

At step 506 is formed in the interval or intervals of the desired outcomes for events and/or impacts, for example, as described above with reference to FIG. 3. Information about the outcomes impacts may similarly be stored on the media storage.

At step 508 is getting some or all of the information 114 for the specified object from the database 102 of the data records of the object.

At step 510, the information is processed to determine the occurrence of the object of the event of interest. If the object contains multiple individual facts of the occurrence of the same event (for example, if the patient is more than one episode of acute hypotension), processing may be performed for the most recent events.

At step 512, the information is processed to determine the occurrence of the object of the outcome of the set of outcomes in the interval of outcomes. If such an outcome has not occurred, the processing returns to step 508, which optionally is getting information 114 on another object. If such an outcome has occurred, processing proceeds to step 514.

At step 514, the information is processed to determine the fact of applying to the object impacts the C multiple impacts. Note that when using multiple effects of this impact (impact) can be considered as the only effect.

At step 516 are formed evidence linking the object, showing the connection between the event, outcome and impact.

Note that if the interval 302 outcomes involves more than one definition of a meaningful outcome, the choice of outcome for inclusion in the relationship depends on the goals of the analysis. For example, if the goal is to explain the impact of more applied effects, you can enable the determination of the time of the Exodus within the interval of outcomes. If, on the other hand, the goal is to identify the actions with the lowest response time, you can enable the determination of the first time of the Exodus.

At step 518, the data about the relationship of the object are stored in an encrypted database 106 record data objects.

At step 520, the processing request is repeated for cataloging other facts of an event that could occur in the object and/or other objects that have come to this event.

At step 522, the processing request is repeated with respect to other events.

At step 524, the means 130 for predicting events determines the overall combination of the data for those objects that have identical or similar relationship is abitia-impact-outcome for the formation of the relevant predictors 158.

It should be understood that the above steps can be performed in a different order and that provides different ways. For example, one or more of the sets of outcomes, sets of influences and stages 502, 504, 506 of the formation interval of outcomes may be in a different order or in parallel for many different events. Similarly, steps 502, 504, 506 may be performed at a later stage of the process, for example after step 514 to determine the applied impact. Another example: the procedure for determining the outcome of 512 object and applied impact 514 may be reversed.

Another example: retrieving records for the objects and filtering can be carried out not on specific objects or events. For example, for identifying each of the multiple event filters can be used in parallel; after reading and understanding the present description specialists in this field will become clear and other options. In addition, the tool 130 forecasting can be excluded.

Encoded base 106 of the data records of interest can be used in various ways.

The first example of the use of coded base 106 data records with respect to event-driven system decision support is described below with reference to FIG. 6.

The object of interest at step 602 respect for our the et event. In this example, the current patient may experience acute hypotension.

At step 604 a request to support decision-making. For example, the user can request support decision-making in relation to a specific object and/or event through the user interface 110. In addition, in the present example, the physician may request support decision-making as assistance in choosing the appropriate treatment to apply it to the current patient. Note that the request for support of decision-making does not necessarily have to be clearly formulated. For example, the system can operate quietly and in the background, while its operation is run over time, and the doctor or other user receives a notification.

At step 606 searches in an encrypted database 106 record data objects to identify objects that have happened this event. The search can be carried out, for example, using processor 108 systems decision support. In this example, the search in an encrypted database 106 data records of interest can be performed to identify patients who experience acute hypotension.

At step 608 compares cases or stage filter to identify those of the identified objects, the characteristics of which correl the shape with the characteristics of the object of interest. In one embodiment, the implementation of the mapping is executed by the processor 108 of the system support decision making on the basis of the stored demographic data 116 on the detected objects and demographic data on the object of interest. In this example, the mapping may be applied to identify those of the identified patients, characteristics which correlate with the current patient.

At step 610, the data for matching cases are presented via the user interface 110. In the present example, the data may be issued to a physician.

The user uses this data at step 612. In this example, the physician may use the data as assistance in choosing the appropriate action.

In addition, it should be understood that the above steps can be performed in a different order and that provides a variety of options.

The second example of the application of coded base 106 of the data records of interest in relation to the predictive system is described below with reference to FIG. 7.

At step 702, the data in the database 102 of the data records of interest are evaluated to identify common combinations of data objects that have identical or similar relationship event-impact-outcome.

At step 704 total combination of data is used to generate predictors with whom the world. In particular, the predictors are generated for various Association event-impact-outcome. In the example cases of acute hypotension, which impacts included the use of intravenous fluids, and the outcome included a return to the original level predictors may contain offensive changes temperature by 0.5 degrees Celsius (C) for a period of two (2) hours, increase heart rate by ten percent (10%) during the period of four (4) hours and increased frequency of respiratory movements by ten percent (10%) over a period of three (3) hours (and in this case it is assumed that the impact and predictors are only presented as examples for illustration). Thus, the presence of the predictors in the object of interest can be used to indicate the possibility of an acute hypotension object. In addition, as noted above, different predictors may be associated with stress, which can lead to a favorable (or, conversely, adverse) outcome.

At step 706 correlation between the combination of data on the object of interest and formed the predictor, for example, using processor 108 systems decision support. For the purposes of this example, it is assumed that the data is about the patient correlated with the predictors, established at step 704.

At step 708, the user is notified about future events from this object, for example, through the user interface 110. In this example, the user is notified about the possibility of acute hypotension in this patient.

At stage 710 may receive one or more possible actions. This can be accomplished, for example, mainly in accordance with the steps 608-612 in FIG. 6. Again in this example the present invention may include the use of intravenous fluids. It should be understood that such an approach is expected to give information about medical procedures, leading to favorable outcomes in a patient population similar to the object of interest.

Note that although the methods described above are described with reference to example events, including acute hypotension, they are applicable to other acute and chronic conditions. They are also applicable to fields other than medicine.

Specialists in the art should understand that various components and methods described above can be implemented by computer-readable commands, stored on an appropriate computer-readable media storage. When these commands are executed by a computer, instruct the computer to him the described methods.

The invention is described with reference to preferred options for implementation. After reading and understanding the preceding detailed description some may come to mind modifications and changes. It is assumed that the invention include all such modifications and alterations insofar as they fall within the attached claims or their equivalents.

1. Device for identifying relationships in data (114) about the object, which include data (118) event that indicates the incident object event data (122) about the outcome of the object that indicates the onset of object selection, and data (120) on the impact that indicates applied to the object exposure, where the device includes:
the base (102) data of the patient record, which includes retrospective demographic data (116) of the patient, which includes data (118) about the events data (120), the effects of data (122) about the outcomes of the object and data (124) on the temporal relationships for many patients;
filter (405)performing temporal filtering of the data about the outcome of the object to identify outcomes (212), which are elements of the set (210) outcomes and which occurred within the time interval (302) outcomes, which is restricted in the beginning (308) minimum values of time steps (208) damage to the rd (206) many (204) impacts which includes many influences, and is limited in the end (310) of the sum of the critical period (209) impact and maximum (306) values duration of the effects of many influences;
associator (406), which highlights the relationship between the event, outcome and impact as a function of event data, past temporal filtering data about the outcome and exposure data, and which generates an output of 150 links pointing
the relationship between events, outcomes and impacts (516);
encrypted database 106 data records of the object, which stores data communications;
the processor 108 system decision support, which searches the encrypted database 106 data objects for identifying (606) of objects that an event has occurred, maps (608) identified the objects, characteristics which correlate with the characteristics of the object of interest, and is (610) the data mapped to the identified objects to the doctor for assistance (612) selection of the appropriate action.

2. The device according to claim 1, wherein the object is a patient man, the effects of a medical treatment, and associator reveals the best time of the clinical relationship.

3. The device according to claim 1, wherein the filter filters the data about the outcomes of interest in accordance with the time interval (308, 310), to which that is measured from the moment of impact.

4. The device according to claim 1, containing a selector (402) records objects, which selects the data (114) about the objects in the set of objects, and filter (404) events, which filters the data (118)
the event that contains the event.

5. The device according to claim 1, containing the means (130) to identify
predictors of events.

6. The method of identifying relationships in data about the object that contains the time that:
retrieve information (114) of the patient from a retrospective database (102) data of the patient record containing patient information
for many patients;
handle patient information to identify time-dependent clinical relationships between events patients events that occurred in the patients specific to event outcomes and applied for specific events treatments, which probably contributed to this outcome;
for each of many patients retain output (150)that indicates the interrelation between the incident the patient event occurred in a patient-specific event outcome and applied for specific events therapeutic procedure, which probably contributed to this outcome, in an encrypted database (106) data of the patient record;
perform comparison of the cases of interest to pale the TA and the patient in an encrypted database records;
provide information indicating the patient in an encrypted database records.

7. The method according to p. 6, which includes the evaluation phase coded database records in order to identify the predictor of events.

8. The method according to claim 7, comprising stages, which are:
identify the correlation between the interests of the patient and detected by the predictor;
in response to the detected correlation are possible treatment for application to the patient.



 

Same patents:

FIELD: physics.

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5 cl, 1 dwg

FIELD: information technology.

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60 cl, 19 dwg

FIELD: medicine.

SUBSTANCE: group of inventions relates to medicine. In realisation of methods implanted gastric restricting device is implanted into patient's body. Data, containing information about values of parameter, perceived inside the body, are collected for a time period. In the first version of method realisation determined are values of perceived parameter, which exceed the first threshold, are below the first threshold or below the second threshold in such a way that pulse is determined by time between values, which exceed the first threshold and values, which are below the first threshold or below the second threshold. In the second version of the method additional values of perceived parameter, accompanied by decreasing values, are determined. In the third version of the method areas under the curve of pressure dependence on time are determined, compared and the result of comparison is correlated with the state. In the fourth version of the method values of perceived pressure are formed for demonstration on display or further analysis. In the fifth version of the method average value of pressure for time X within the specified time period is calculated on the basis of values of perceived pressure within the window of averaging in specified period of time.

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32 cl, 77 dwg

FIELD: medicine.

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6 cl, 38 dwg, 1 tbl

FIELD: oil and gas industry.

SUBSTANCE: system contains one or more sources providing data representing aggregated fractures in formation, processor of computer connected to one or more sources of data, at that processor of computer contains carriers containing output code of the computer consisting of the first program code for selection of variety of materials to control drill mud losses out of list of materials in compliance with data representing total number of fractures in formation and the second program code related to the first program code and purposed for determination of optimised mixture for selected materials to control drill mud losses to apply them for fractures; at that optimised mixture is based on comparison of statistical distribution for selected sizes of materials to control drill mud losses and sizes of aggregated fractures.

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20 cl, 6 dwg

FIELD: medicine.

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EFFECT: invention makes it possible to provide completely wireless ECG monitoring to increase patient's comfort and convenience.

18 cl, 48 dwg, 1 tbl

FIELD: information technologies.

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20 cl, 16 dwg

FIELD: medicine.

SUBSTANCE: invention relates to medicine. In method realisation current values of each of parameters of clinical data characterising current state of cardiovascular system are measured and fixed. Results of assessment of values of clinical data parameters are transformed. Results of assessment of current values of each parameter of clinical data are fixed depending on time of performed measurements. Results of transformation of assessment of current values of each parameter of clinical data are visualised on plane, coinciding with plane of displaying multicolour screen of videomonitor. Information about dynamics of cardiovascular system state is obtained. Also performed is digitisation and weighting of fixed instant values of each parameter of clinical data in physical values. Three-dimensional image of cardiovascular system state AN(t) is created in form of totality of geometrical places of points in N-dimensional space of cardiovascular system states, with coordinates of each point of N-dimensional space of cardiovascular system states being determined by totality of non-invasively and invasively measured in physical values digitised instant values of various clinical data, which characterise current state of cardiovascular system. Two-dimensional images of cardiovascular system states A2(t) are formed in form of projections of formed AN(t) on plane, coinciding with plane of displaying multicolour screen of videomonitor. Coordinates in 2-dimensional state of cardiovascular system states of each point of formed A2(t) are memorised. Virtual three-dimensional models of various nosologic forms of cardiovascular system diseases Bi are built in form of totality of M-geometrical places of points in N-dimensional space of cardiovascular system state, where i=1; 2; 3;…M is the number of displayed diseases of cardiovascular system. Coordinates of each point of each of B are determined by totality of values of various clinical data in physical values, describing characteristic clinical-morphological picture of corresponding disease and degree of CVS pathology manifestation, respectively. Coordinates in N-dimensional space of cardiovascular system state of all points of three-dimensional images Bi are memorised. Two-dimensional models of various nosologic forms of cardiovascular system diseases B2i are formed in form of projections, formed by B2i on plane, coinciding with plane of displaying multicolout screen of videomonitor. Coordinates in 2-dimensional space of cardiovascular system state of all points formed by B2i are memorised. Formed B2i are visualised on screen of multicolour videomonitor in such a way that colour of each point B2i in visible ranges of wavelengths Δλr, Δλo, Δλy, Δλg, Δλb…Δλ,m corresponds to certain type of disease, and degree of pathology is characterised by value, inversely proportional to wavelength of respective range. Visualisation on screen of multicolour videomonitor of successively formed in time values A2(t) is also performed, with each previous value A2(t) being connected by means of straight lines with their following values, and colour of A2(t) and connecting straight lines is formed by addition of red (Δλr), green (Δλg) and blue (Δλb) colours with similar amplitude proportion. Check of satisfaction of set of conditions A2(t) ⊂ B2i is carried out. Decision about cardiovascular system disease is taken in case of satisfaction of a condition from set A2(t) ⊂ B2i. Ambiguity of taking decision about cardiovascular system disease is excluded if mutual intersections B2i are present, when instant value A2(t) simultaneously belongs to two and more B2i, by formation on screen of multicolour videomonitor of each of new images of state A2k(t) and non-intersecting images of diseases в2ik by respective k transmissions of origin of coordinates of N-dimensional space of cardiovascular system state into selected by cardiologist points on plane of multicolour screen of videomonitor and carrying out procedure of projecting A(t) and Bi on plane coinciding with plane of displaying multicolour screen of videomonitor and after each of k transmissions of origin of coordinates of N-dimensional space of cardiovascular system state, where k=1; 2; 3;…j. Formed A2k(t) and в2ik are visualised on screen of multicolour videomonitor. procedure of A2k(t) and в2ik formation is stopped when condition, when A2k(t) belongs only to one в2ik is satisfied. Decision about absence of disease is taken if condition A2(t) ⊄ B2i is satisfied. Assessment of dynamics of change of cardiovascular system state is performed by results of analysis of preliminarily determined values of quantities Δτ=A2(t1)-A2(t2) and dΔτdτ for specified time interval, where t1; t2 are moments of time of beginning and end of specified time interval respectively.

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5 dwg

FIELD: medicine.

SUBSTANCE: invention relates to means for diagnosing neurodegenerative diseases. Device contains module of obtaining images which receives visual data about patient's brain state, and image analyser, made with possibility of determining quantitative index, which shows degree of development of neurodegenerative disease of patient's brain on the basis of visual data with application of probability mask for determination of studied areas on the image, specified by visual data. Method of clinical assessment includes stages of obtaining visual data and their analysis for determination of quantitative index, which makes it possible to assess degree of development of neurodegenerative diseases of patient's brain with application of probability mask. Software carrier contains computer programme, settings of data processing device for its performance of at least one of method stages.

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25 cl, 8 dwg

FIELD: information technologies.

SUBSTANCE: method to support decision-making based on instances includes a stage of calculation of remoteness from likeness between the input case of requesting and the set of instances for extraction of similar cases, using the set of standard criteria and their weights for assessment of likeness. Then, in accordance with the method, a user is provided with similar instances and a set of standard criteria and weights. And also an input is received from the user, including a variable weight for one of the set of standard criteria and/or one new criterion in addition to the set of standard criteria. Besides, the calculation of remoteness from likeness is varied with a new set of criteria and weights for extraction of instances similar from the point of view of the user. At the same time a new set of criteria and weights is generated on the basis of clustering on the basis of likeness for variation of calculation of the remoteness from likeness by means of start-up of a genetic learning logic.

EFFECT: creation of a basis system of input estimates of likeness for adaptation of actual value of likeness to similar users with another experience or other opinion.

11 cl, 3 dwg

FIELD: computers.

SUBSTANCE: device has decoder, registers, AND groups elements, delay elements, memory blocks, counter, trigger, signs input block, comparators.

EFFECT: higher productiveness.

2 dwg

FIELD: advertisement.

SUBSTANCE: method includes, before transfer of combined video and audio signal from remote center to multiple control servers, selection of blocks of video and audio information about goods, in remote center, which goods are present in trading location, where appropriate control server is positioned, and playback is performed continuously on each display by means of respective controls server, at least portion of selected blocks of video and audio information about advertised goods is played, which are appropriate for goods present in trading location, wherein appropriate controlling server is located and matching display, after that analysis of blocks of video and audio information indicated on displays, is performed, and report information is formed.

EFFECT: higher efficiency.

2 cl, 1 dwg

FIELD: computers.

SUBSTANCE: device has registers, comparators, signs input block, counters, adder, decoder, memory block, means for determining support test address, triggers, AND elements, groups of AND elements, OR elements, delay elements.

EFFECT: higher precision.

4 dwg

FIELD: biochemistry, proteins, pharmacy.

SUBSTANCE: invention relates to a computer method for identifying peptides that can be used as targets for medicinal agents. Method involves creating peptides library from protein sequences of different organisms and the following comparison is carried out for identification of retained conservative peptide motifs that are identified by the direct comparison of sequences for different microorganisms and host genomes being without any suggestions. Method is useful for identifying possible targets for medicinal agents and can be used for screening antibacterial medicinal agents of broad spectrum. Also, method can be used for carrying out the specific diagnosis of infections and, in addition, for conferring functions to proteins with unknown functions using indices of invariant peptide motifs. The advantage of invention involves accelerating method for identification of peptide motifs.

EFFECT: improved method for identifying peptide motifs.

11 cl, 4 dwg, 8 ex

FIELD: devices for processing data with copyrights.

SUBSTANCE: device for processing data, realizing a method for processing of data with copyrights within limits of given rights, contains memory device for distributed data, means for recording data concerning rights and data, means for converting data, means for realization of processing method.

EFFECT: higher efficiency.

3 cl, 60 dwg

FIELD: computer science.

SUBSTANCE: device has main processor, auxiliary processor, main module body, display, while auxiliary processor is made with possible receiving in parallel format of controlled data from multiple sensors and outputting signals in serial format to main processor.

EFFECT: computer can possibly receive signals from large set of sensors without increase of contacts amount on main module body.

3 cl, 12 dwg

FIELD: computer science.

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EFFECT: higher speed of operation, higher precision, lower costs, broader functional capabilities, higher efficiency.

9 dwg

FIELD: economical processes modeling technologies.

SUBSTANCE: system has block for calculating sells, block for profit distribution, block for distributing savings, block for modeling distribution coefficients, block for modeling full costs of production and taxes, block for modeling costs of main funds, block for modeling external borrowings, block for modeling consumption, block for analyzing total supply and demand and control.

EFFECT: higher precision.

3 dwg

FIELD: technologies for realization of an additional useful effect during purchase of consumer goods.

SUBSTANCE: method for realization of additional useful effect includes dispensing an individual code to consumer, providing access to commonly accessed data transfer network by means of appropriate data processing device, while wherein a software storage is present. Access to storage is performed by means of individual code, launched selected software remains accessible for a certain time, and after anticipated number of accesses individual code is blocked for any further access.

EFFECT: expanded functional capabilities and range of technical means of communication network for users, purchasing goods.

3 cl

FIELD: engineering of information-gathering and controlling systems, possible use for accumulation and processing of information, completing missions and generating controlling commands for weapon systems and technical equipment, in particular, for naval weaponry.

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EFFECT: improved reliability and fault tolerance.

5 dwg

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