Methods, Systems, and Products for Detecting Maladies

• US 20100293132A1
• Filed: 05/15/2009
• Published: 11/18/2010
• Est. Priority Date: 05/15/2009
• Status: Abandoned Application

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Schryer, N. L., Tischer, Steven N., Volinsky, Christopher, Gibbon, David
• Application Number:
  US12/466,621
• Publication Number:
  US 20100293132A1
• Time in Patent Office: Days
• US Class Current: 706/54
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

Methods, systems, and products are disclosed for detecting and/or predicting maladies in humans and animals. Electronic copies of second order output are collected and compared to a symptoms database storing data ranges describing symptoms. When the second order output lies outside a data range, a symptom associated with the data range is retrieved. The onset of a malady associated with the symptom is then predicted.

Claims

1. A method of detecting a malady, comprising:

collecting electronic copies of an individual'"'"'s second order output;

comparing the collected electronic copies to a symptoms database storing data ranges describing symptoms;

retrieving a symptom associated with the collected electronic copies that lies outside a data range; and

predicting an onset of the malady associated with the symptom.

2. The method according to claim 1, further comprising storing the collected electronic copies in an historical database.

3. The method according to claim 2, further comprising comparing a recent second order output to a historical second order output.

4. The method according to claim 2, further comprising comparing publically available video data to historical video data to determine vision changes over time.

5. The method according to claim 2, further comprising determining a distance between parked cars in video data.

6. The method according to claim 5, further comprising comparing the distance to historical parking video data stored in the historical database.

7. The method according to claim 6, further comprising inferring vision degradation when the distance exceeds historical parking video data.

8. The method according to claim 2, further comprising storing a recent electronic copy of the individual'"'"'s handwritten signature in the historical database.

9. The method according to claim 8, further comprising comparing the recent electronic copy of the individual'"'"'s handwritten signature to a historical electronic copy of the individual'"'"'s handwritten signature.

10. The method according to claim 9, further comprising predicting the onset of Parkinson'"'"'s disease based on the comparison.

11. The method according to claim 9, further comprising predicting vision degradation based on the comparison.

12. A system for detecting a malady, comprising:

a processor executing code stored in memory that causes the processor to;

collect a recent electronic copy of an individual'"'"'s handwritten signature;

compare the recent electronic copy of the individual'"'"'s handwritten signature to historical electronic copies of the individual'"'"'s handwritten signatures;

determine the individual'"'"'s handwritten signature has changed over time;

retrieve a symptom associated with the changed individual'"'"'s handwritten signature; and

predict an onset of the malady associated with the symptom.

13. The system according to claim 12, wherein the code further causes the processor to retrieve the recent electronic copy of the individual'"'"'s handwritten signature from a credit card transaction.

14. The system according to claim 12, wherein the code further causes the processor to determine a change exists between the recent electronic copy of the individual'"'"'s handwritten signature and the historical electronic copies of the individual'"'"'s handwritten signatures.

15. The system according to claim 14, wherein the code further causes the processor to compare the change to a symptoms database storing data ranges describing symptoms.

16. The system according to claim 15, wherein the code further causes the processor to determine the change lies outside a data range.

17. The system according to claim 16, wherein the code further causes the processor to retrieve the symptom associated with the data range.

18. The system according to claim 17, wherein the code further causes the processor to predict the onset of Parkinson'"'"'s disease based on the symptom.

19. The system according to claim 17, wherein the code further causes the processor to predict vision degradation based on the symptom.

20. A computer readable medium storing processor executable instructions for performing a method, the method comprising:

collect a recent electronic copy of an individual'"'"'s handwritten signature;

compare the recent electronic copy of the individual'"'"'s handwritten signature to historical electronic copies of the individual'"'"'s handwritten signatures;

determine the individual'"'"'s handwritten signature has changed over time;

retrieve a symptom associated with the changed individual'"'"'s handwritten signature; and

predict an onset of a malady associated with the symptom.