SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR DISEASE MONITORING AND IDENTIFICATION

• US 20160012193A1
• Filed: 07/09/2015
• Published: 01/14/2016
• Est. Priority Date: 07/09/2014
• Status: Abandoned Application

• Current Assignee: Gal Almogy
• Original Assignee: Gal Almogy
• Inventors: Almogy, Gal
• Application Number:
  US14/794,848
• Publication Number:
  US 20160012193A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system for diagnosing a patient, the system comprising at least one processor configured to perform the following: obtain at least (a) data defining at least two distinct Local Transmission Zones (LTZs), each LTZ of the LTZs associated with a given diagnosis out of a plurality of potential diagnoses, and (b) patient-related information enabling associating the patient with a given LTZ of the LTZs; and associate the patient with the given LTZ thereby enabling determination of the patient'"'"'s diagnosis in accordance with the given diagnosis associated with the given LTZ.

Claims

1. A system for diagnosing a patient, the system comprising at least one processor configured to perform the following:

obtain at least (a) data defining at least two distinct Local Transmission Zones (LTZs), each LTZ of the LTZs associated with a given diagnosis out of a plurality of potential diagnoses, and (b) patient-related information enabling associating the patient with a given LTZ of the LTZs; and

associate the patient with the given LTZ thereby enabling determination of the patient'"'"'s diagnosis in accordance with the given diagnosis associated with the given LTZ.

2. The system of claim 1 wherein the patient-related information is obtained via a user device and wherein the processor is further configured to provide the patient'"'"'s diagnosis to the user via the patient device.

3. The system of claim 1 wherein the data defining at least two distinct LTZs is obtained from a data repository, directly or indirectly.

4. The system of claim 1 wherein the LTZs are non-overlapping.

5. The system of claim 1 wherein (1) each LTZ is a sub-area of a given geographical area, (2) the patient-related information includes information of at least one geographical location associated with the patient and (3) the association is performed by determination of the LTZ encompassing the geographical location of the patient.

6. The system of claim 1 wherein (1) each LTZ is a group of people out of a certain population (2) the patient-related information includes information of at least one relationship of the patient with another person of the population, and (3) the association is performed by determination of the LTZ encompassing the other person.

7. The system of claim 6 wherein the relationship is a spatial relationship being indicative of a distance between the patient and the other person.

8. The system of claim 1 wherein the processor is further configured to perform the following for obtaining the data defining at least two distinct Local Transmission Zones (LTZs):

obtain LTZ generation data including at least clinical tests results data and spatial information relating to corresponding patients associated with the clinical test results; and

generate the LTZs based on the obtained LTZ generation data.

18. The method of claim 1 wherein (1) each LTZ is a group of people out of a certain population (2) the patient-related information includes information of at least one relationship of the patient with another person of the population, and (3) the associating is performed by determining the LTZ encompassing the other person.

19. The system of claim 18 wherein the relationship is a spatial relationship being indicative of a distance between the patient and the other person.

9. The system of claim 9 wherein the processor is further configured to perform the following for generating the LTZs:

(e) cluster a given geographical area into two or more candidate LTZs each covering a sub-portion of the given geographical area;

(f) grade the candidate LTZs;

(g) cluster the sub-portions covered by the candidate LTZs for which the grade is below a threshold; and

(h) repeat steps (b) and (c) until all the grades of the candidate LTZs are above the threshold.

10. The system of claim 9 wherein the grade is calculated per given causing agent.

11. The system of claim 9 wherein the grade is based on at least one of:

Signal Separation (SS), Signal Continuity (SC), Spatial Distribution Test (SDT), disease ratio.

12. The system of claim 11 wherein the SS is calculated using a signal that is a function of a number of incidences of a causing agent, the sub-portion of the given geographical area covered by the LTZ and a given timeframe.

13. A method for diagnosing a patient, the method comprising:

obtaining, by a processor, at least (a) data defining at least two distinct Local Transmission Zones (LTZs), each LTZ of the LTZs associated with a given diagnosis out of a plurality of potential diagnoses, and (b) patient-related information enabling associating the patient with a given LTZ of the LTZs; and

associating the patient with the given LTZ thereby enabling determination of the patient'"'"'s diagnosis in accordance with the given diagnosis associated with the given LTZ.

14. The method of claim 13 wherein the patient-related information is obtained via a user device and wherein the method further comprises providing the patient'"'"'s diagnosis to the user via the patient device.

15. The method of claim 13 wherein the data defining at least two distinct LTZs is obtained from a data repository, directly or indirectly.

16. The method of claim 13 wherein the LTZs are non-overlapping.

17. The method of claim 13 wherein (1) each LTZ is a sub-area of a given geographical area, (2) the patient-related information includes information of at least one geographical location associated with the patient and (3) the associating is performed by determining the LTZ encompassing the geographical location of the patient.

20. The method of claim 13 wherein the obtaining includes:

obtaining LTZ generation data including at least clinical tests results data and spatial information relating to corresponding patients associated with the clinical test results; and

generating the LTZs based on the obtained LTZ generation data.

21. The method of claim 20 wherein the generating includes:

(i) clustering a given geographical area into two or more candidate LTZs each covering a sub-portion of the given geographical area;

(j) grading the candidate LTZs;

(k) clustering the sub-portions covered by the candidate LTZs for which the grade is below a threshold; and

(l) repeating steps (b) and (c) until all the grades of the candidate LTZs are above the threshold.

22. The method of claim 21 wherein the grading is calculated per given causing agent.

23. The method of claim 21 wherein the grading is based on at least one of:

Signal Separation (SS), Signal Continuity (SC), Spatial Distribution Test (SDT), disease ratio.

24. The method of claim 23 wherein the SS is calculated using a signal that is a function of a number of incidences of a causing agent, the sub-portion of the given geographical area covered by the LTZ and a given timeframe.

25. A non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code, executable by at least one processor of a computer to perform a method comprising:

obtaining, by a processor, at least (a) data defining at least two distinct Local Transmission Zones (LTZs), each LTZ of the LTZs associated with a given diagnosis out of a plurality of potential diagnoses, and (b) patient-related information enabling associating the patient with a given LTZ of the LTZs; and

associating the patient with the given LTZ thereby enabling determination of the patient'"'"'s diagnosis in accordance with the given diagnosis associated with the given LTZ.