Apparatus for determining association variables

• US 9,002,776 B2
• Filed: 10/14/2011
• Issued: 04/07/2015
• Est. Priority Date: 07/10/2004
• Status: Expired due to Fees

• Current Assignee: Trigeminal Solutions, Inc.
• Original Assignee: Trigeminal Solutions, Inc.
• Inventors: Stupp, Steven Elliot, Newman, Lawrence, Lanckriet, Gert
• Primary Examiner(s): Chaki, Kakali
• Assistant Examiner(s): Tran, Mai T
• Application Number:
  US13/317,321
• Publication Number:
  US 20120036103A1
• Time in Patent Office: 1,271 Days
• Field of Search: 706/58
• US Class Current: 706/58
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics

Abstract

An apparatus, and related method, for identifying one or more association variables is described. The apparatus includes at least one processor, at least one memory, and at least one program module stored in the memory configured to be executed by the processor. The program module includes instructions for selecting a subset of temporal onsets in a set of temporal onsets, instructions for determining a statistical relationship between the subset and a pattern of occurrence of a variable, and instructions for identifying the variable as an association variable in accordance with the statistical relationship. The subset includes one or more first temporal onsets corresponding to one or more instances of an event, and the set of temporal onsets includes the subset of temporal onsets and one or more second temporal onsets corresponding to one or more instances of a reoccurrence event.

Claims

1. An apparatus to identify an association variable associated with a set of temporal onsets, comprising:

at least one processor;

at least one memory configured to store information associated with the set of temporal onsets, and information associated with a pattern of occurrence of a variable; and

at least one program module, the program module stored in the memory and configured to be executed by the processor, the program module including;

instructions for selecting a subset of the set of temporal onsets based on one or more characteristics of different type of events associated with the set of temporal onsets, wherein the different types of events include an event and a recurrence event, wherein the subset include one or more first onsets corresponding to one or more instances of the event, wherein the set of temporal onsets includes the subset and one or more second onsets corresponding to one or more instances of the recurrence event, wherein the one or more characteristics of the recurrence event include that a given instance of the recurrence event corresponds to a given temporal onset in a given group of two or more temporal onsets in the set of temporal onsets that is within a predefined time interval after an initial temporal onset in the given group of two or more temporal onsets, and wherein the group of two or more temporal onsets can be associated with a single instance of the event;

instructions for determining a statistical relationship between the subset and the pattern of occurrence of the variable in an underdetermined problem in which there are more variables than temporal onsets in the set of temporal onsets, wherein a severity of the underdetermined problem is increased by excluding the one or more temporal onsets corresponding to one or more instances of the recurrence event; and

instructions for identifying the variable as the association variable in accordance with the statistical relationship.

2. The apparatus of claim 1, wherein the statistical relationship includes contributions from presence and absence information in the pattern of occurrence of the variable.

3. The apparatus of claim 1, further comprising instructions for excluding at least one of the temporal onsets in the set of temporal onsets from the subset due to missing data in the pattern of occurrence of the variable.

4. The apparatus of claim 1, wherein the pattern of occurrence of the variable is during a set of time intervals, and wherein a respective time interval in the set of time intervals precedes a corresponding respective temporal onset in the subset.

5. The apparatus of claim 4, wherein time intervals-in the set of time intervals are offset in time from the temporal onsets in the subset.

6. The apparatus of claim 1, the program module further including instructions for providing recommendations to one or more individuals in accordance with the association variable.

7. The apparatus of claim 1, wherein the predetermined time interval is less than or equal to 24 hours.

8. The apparatus of claim 1, the program-module further including instructions for determining statistical relationships for a plurality of variables in the underdetermined problem.

9. The apparatus of claim 8, the program module further including instructions for determining a first ranking of the plurality of variables based on at least a subset of the statistical relationships, wherein the first ranking is based on the number of occurrences of the variables in the at least the subset of the statistical relationships.

10. The apparatus of claim 9, the program module further including instructions for subtracting a second ranking from the first ranking, wherein the second ranking corresponds to a background signal.

11. The apparatus of claim 1, wherein the event includes at least a symptom of a medical condition and the association variable at least in part induces at least the symptom of the medical condition in at least the one individual if at least the one individual is exposed to the association variable.

12. The apparatus of claim 11, wherein entries in the pattern of occurrence of the variable during time intervals associated with ongoing durations of each of the instances of at least the symptom of the medical condition corresponding to the subset are excluded when the statistical relationship is determined.

13. A computer-program product for use in conjunction with a computer system, the computer-program product comprising a non-transitory computer-readable storage medium and a computer-program mechanism embedded therein to identify an association variable associated with a set of temporal onsets, the computer-program mechanism including:

instructions for selecting a subset of the set of temporal onsets based on one or more characteristics of different type of events associated with the set of temporal onsets, wherein the different types of events include an event and a recurrence event, wherein the subset include one or more first onsets corresponding to one or more instances of the event, wherein the set of temporal onsets includes the subset and one or more second onsets corresponding to one or more instances of the recurrence event, wherein the one or more characteristics of the recurrence event include that a given instance of the recurrence event corresponds to a given temporal onset in a given group of two or more temporal onsets in the set of temporal onsets that is within a predefined time interval after an initial temporal onset in the given group of two or more temporal onsets, and wherein the group of two or more temporal onsets can be associated with a single instance of the event;

instructions for determining a statistical relationship between the subset and a pattern of occurrence of the variable in an underdetermined problem in which there are more variables than temporal onsets in the set of temporal onsets, wherein a severity of the underdetermined problem is increased by excluding the one or more temporal onsets corresponding to one or more instances of the recurrence event; and

instructions for identifying the variable as the association variable in accordance with the statistical relationship.

14. The computer-program product of claim 13, wherein the pattern of occurrence of the variable is during a set of time intervals, and wherein a respective time interval in the set of time intervals precedes a corresponding respective temporal onset in the subset.

15. The computer-program product of claim 13, wherein the computer-program mechanism further includes:

instructions for determining statistical relationships for a plurality of variables in the underdetermined problem; and

instructions for determining a first ranking of the plurality of variables based on at least a subset of the statistical relationships, wherein the first ranking is based on the number of occurrences of the variables in the at least the subset of the statistical relationships.

16. The computer-program product of claim 13, wherein the event includes at least a symptom of a medical condition and the association variable at least in part induces at least the symptom of the medical condition in at least the one individual if at least the one individual is exposed to the association variable.

17. A method for identifying an association variable associated with a set of temporal onsets, the method comprising:

selecting a subset of the set of temporal onsets based on one or more characteristics of different type of events associated with the set of temporal onsets, wherein the different types of events include an event and a recurrence event, wherein the subset include one or more first onsets corresponding to one or more instances of the event, wherein the set of temporal onsets includes the subset and one or more second onsets corresponding to one or more instances of the recurrence event, wherein the one or more characteristics of the recurrence event include that a given instance of the recurrence event corresponds to a given temporal onset in a given group of two or more temporal onsets in the set of temporal onsets that is within a predefined time interval after an initial temporal onset in the given group of two or more temporal onsets, and wherein the group of two or more temporal onsets can be associated with a single instance of the event;

determining a statistical relationship between the subset and a pattern of occurrence of the variable in an underdetermined problem in which there are more variables than temporal onsets in the set of temporal onsets, wherein a severity of the underdetermined problem is increased by excluding the one or more temporal onsets corresponding to one or more instances of the recurrence event; and

identifying the variable as the association variable in accordance with the statistical relationship.

18. The method of claim 17, wherein the pattern of occurrence of the variable is during a set of time intervals, and wherein a respective time interval in the set of time intervals precedes a corresponding respective temporal onset in the subset.

19. The method of claim 17, wherein the method further includes:

determining statistical relationships for a plurality of variables in the underdetermined problem; and

determining a first ranking of the plurality of variables based on at least a subset of the statistical relationships, wherein the first ranking is based on the number of occurrences of the variables in the at least the subset of the statistical relationships.

20. The method of claim 17, wherein the event includes at least a symptom of a medical condition and the association variable at least in part induces at least the symptom of the medical condition in at least the one individual if at least the one individual is exposed to the association variable.