Apparatus for determining association variables

• US 7,223,234 B2
• Filed: 07/08/2005
• Issued: 05/29/2007
• Est. Priority Date: 07/10/2004
• Status: Active Grant

• Current Assignee: Trigeminal Solutions, Inc.
• Original Assignee: Monitrix Incorporated
• Inventors: Newman, Lawrence, Carpenter, Chris, Stupp, Steven Elliot, Lanckriet, Gert
• Primary Examiner(s): Hindenburg; Max
• Assistant Examiner(s): KOWALEWSKI, FILIP A
• Application Number:
  US11/177,063
• Publication Number:
  US 20060015263A1
• Time in Patent Office: 690 Days
• Field of Search: 600300-301, 128903-905, 128/898, 128/920, 705 2- 4
• US Class Current: 600/300
• 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 determining one or more association variables is described. The apparatus includes at least one processor, at least one memory, and at least one program module. The program module is stored in the memory and is configurable to be executed by the processor. The program module includes instructions for determining a statistical relationship between one or more temporal onsets corresponding to one or more events and a pattern of occurrence of a compound variable. The compound variable corresponds at least to a pattern of occurrence of a first variable and a pattern of occurrence of a second variable. The determining includes contributions from presence and absence information in the pattern of occurrence of the compound variable.

Claims

1. An apparatus for determining one or more migraine variables associated with migraines, comprising:

at least one processor;

at least one memory; and

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

instructions for determining a statistical relationship between one or more temporal onsets corresponding to one or more events and a pattern of occurrence of a compound variable,

wherein the compound variable corresponds at least to a pattern of occurrence of a first variable and a pattern of occurrence of a second variable, and wherein the determining includes contributions from presence and absence information in the pattern of occurrence of the compound variable; and

instructions for identifying the first variable and the second variable as the migraine variables in accordance with the statistical relationship.

2. The apparatus of claim 1, wherein a pattern of occurrence of the first variable is during a first set of time intervals and the pattern of occurrence of a second variable is during a second set of time intervals, and wherein each time interval in a respective set of time intervals precedes a respective temporal onset in the one or more temporal onsets.

3. The apparatus of claim 2, wherein time intervals in at least one of the first set of time intervals and the second set of time intervals are offset in time from the one or more temporal onsets.

4. The apparatus of claim 2, wherein time intervals in the first set of time intervals are different than time intervals in the second set of time intervals.

5. The apparatus of claim 1, the program module further including instructions for receiving information including the one or more temporal onsets corresponding to one or more events and the pattern of occurrence of the compound variable.

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

7. The apparatus of claim 1, wherein the determining uses a non-parametric statistical analysis technique selected from a group consisting of a chi-square analysis technique, a log-likelihood ratio analysis technique and a Fisher'"'"'s exact probability analysis technique.

8. The apparatus of claim 1, wherein the determining uses a supervised learning technique selected from a group consisting of a support vector machines (SVM) analysis technique and a classification and regression tree (CART) analysis technique.

9. The apparatus of claim 1, wherein the pattern of occurrence of the first variable and the pattern of occurrence of the second variable comprise categorical data, and wherein a respective entry in the pattern of occurrence of the compound variable is determined by performing a logical operation on corresponding entries in the pattern of occurrence of the first variable and the pattern of occurrence of the second variable.

10. The apparatus of claim 9, wherein the logical operation is a Boolean operation selected from a group consisting of AND, OR, NOT and XOR.

11. The apparatus of claim 1, wherein the statistical relationship is at least in part determined using a filter.

12. The apparatus of claim 1, the program module further including instructions for determining statistical relationships for a plurality of compound variables,

wherein a respective compound variable in the plurality of compound variables corresponds to patterns of occurrence of at least two variables in a set of variables, one of at least the two variables occurring during one set of time intervals and another of at least the two variables occurring during another set of time intervals, and wherein each time interval in a respective set of time intervals precedes a respective temporal onset in the one or more temporal onsets.

13. The apparatus of claim 12, the program module further including instructions for ranking the plurality of compound variables in accordance with the statistical relationships.

14. The apparatus of claim 12, the program module further including instructions for ranking variables in the set of variables in accordance with a number of occurrences of the variables in the compound variables having statistical relationships that approximately exceed a statistical confidence threshold.

15. The apparatus of claim 14, wherein the statistical confidence threshold is selected such that at least a subset of the ranking is substantially stable.

16. The apparatus of claim 1, wherein the pattern of occurrence of the first variable and the pattern of occurrence of the second variable include presence and absence information, and wherein a respective entry in a pattern of occurrence of a respective variable is considered present if the respective entry approximately exceeds at least one threshold.

17. The apparatus of claim 1, wherein the migraine variables are migraine triggers and the one or more events correspond to one or more migraines experienced by at least one individual.

18. The apparatus of claim 17, wherein one or more of the migraine triggers at least in part induce a migraine in at least the one individual if at least the one individual is exposed to one or more of the migraine triggers.

19. The apparatus of claim 17, the program module further including instructions for associating at least the one individual with one or more groups of migraine triggers in accordance with one or more of the identified migraine variables.

20. The apparatus of claim 1, the program module further including instructions for determining a subset of temporal onsets in a set of temporal onsets,

wherein the subset of temporal onsets includes one or more onsets corresponding to one or more migraines experienced by at least one individual, the set of temporal onsets includes the subset of temporal onsets and one or more temporal onsets corresponding to one or more additional headaches experienced by at least the one individual, and wherein the determining of the statistical relationship uses the subset of temporal onsets and the pattern of occurrence of the compound variable.

21. The apparatus of claim 20, wherein the one or more additional headaches are selected from a group consisting of one or more rebound migraines, one or more recurrence migraines and one or more tension headaches.

22. The apparatus of claim 20, wherein the pattern of occurrence of the compound variable includes one or more entries corresponding to at least a time interval after at least a respective temporal onset in the subset of temporal onsets, a respective migraine corresponding to at least the respective temporal onset having a duration including at least the time interval, and wherein the one or more entries are excluded when the statistical relationship is determined.

23. A computer-program product for use in conjunction with a computer system, the computer-program product comprising a computer-readable storage medium and a computer-program mechanism embedded therein for determining one or more migraine variables associated with migraines, the computer-program mechanism including:

instructions for determining a statistical relationship between one or more temporal onsets corresponding to one or more events and a pattern of occurrence of a compound variable,

wherein the compound variable corresponds at least to a pattern of occurrence of a first variable and a pattern of occurrence of a second variable, and wherein the determining includes contributions from presence and absence information in the pattern of occurrence of the compound variable; and

instructions for identifying the first variable and the second variable as migraine variables in accordance with the statistical relationship.

24. An apparatus for determining one or more migraine variables associated with migraines, comprising:

at least one computational means;

at least one storage means; and

at least one program module mechanism, the program module mechanism stored in at least the storage means and configurable to be executed by at least the computational means, at least the program module mechanism including;

instructions for determining a statistical relationship between one or more temporal onsets corresponding to one or more events and a pattern of occurrence of a compound variable,

wherein the compound variable corresponds at least to a pattern of occurrence of a first variable and a pattern of occurrence of a second variable, and wherein the determining includes contributions from presence and absence information in the pattern of occurrence of the compound variable; and

instructions for identifying the first variable and the second variable as the migraine variables in accordance with the statistical relationship.