PROVIDING CLOUD-BASED HEALTH-RELATED DATA ANALYTICS SERVICES

• US 20170109443A1
• Filed: 10/16/2015
• Published: 04/20/2017
• Est. Priority Date: 10/16/2015
• Status: Abandoned Application

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: TSOU, I-wen
• Application Number:
  US14/885,980
• Publication Number:
  US 20170109443A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

A method to provide health-related data analytics services via a web service may include crawling, via a web crawler, the Internet to identify multiple websites with content related to human health. The method may also include obtaining, using text classification, multiple words associated with an occurrence in lives of people and multiple words associated with a health outcome in the lives of the people, performing text recognition to determine a frequency at which the words associated with the occurrence appear simultaneously with the words associated with a health outcome in the content of each of the websites identified by crawling the Internet, and confirming a proposed correlation between the occurrence and the health outcome in response to the frequency meeting a threshold.

Claims

1. A computer-implemented method of providing health-related data analytics services via a web service, comprising:

crawling, via a web crawler, the Internet to identify a plurality of websites with content related to human health;

obtaining, using text classification, a plurality of words associated with a lifestyle of people and a plurality of words associated with a health outcome in lives of the people;

performing text recognition to determine a frequency at which the plurality of words associated with the lifestyle appear simultaneously with the plurality of words associated with the health outcome in the content of each of the plurality of websites identified by crawling the Internet;

confirming a proposed correlation between the lifestyle and the health outcome in response to the frequency meeting a threshold; and

transmitting the confirmed proposed correlation to a user of the health-related data analytics services via an application program interface, the application program interface configured to allow a provider of the data analytics services to access a portion of the content of the plurality of websites.

2. The method of claim 1, further comprising refining the proposed correlation between the lifestyle and the health outcome, including:

performing text recognition to determine another frequency at which a plurality of words associated with a subset of the lifestyle appear simultaneously with the plurality of words associated with the health outcome in the content of each of the plurality of websites; and

updating the proposed correlation to include the subset of the lifestyle in the proposed correlation in response to the other frequency meeting another threshold.

3. The method of claim 2, wherein refining the proposed correlation between the lifestyle and the health outcome further includes:

in response to the content of the plurality of websites including one or more narratives, performing language recognition with respect to the narratives to determine an additional frequency at which the subset of the lifestyle occurs earlier in time than the health outcome as told by the narratives; and

updating the proposed correlation to include the subset of the lifestyle in the proposed correlation in response to the additional frequency meeting an additional threshold.

4. The method of claim 1, further comprising:

in response to the content of the plurality of websites including one or more narratives, performing language recognition with respect to the narratives to determine another frequency at which the lifestyle occurs earlier in time in the lives of the people than the health outcome as told by the narratives; and

confirming the proposed correlation in response to the other frequency meeting another threshold.

5. The method of claim 1, further comprising:

obtaining sensor data from sensors associated with the people, wherein the sensor data indicates the lifestyle and the health outcome;

determining another frequency at which the lifestyle occurs before the health outcome based on time data associated with the sensor data; and

confirming the proposed correlation in response to the other frequency meeting another threshold.

6. The method of claim 1, further comprising

obtaining sensor data from sensors associated with the people, wherein the sensor data indicates another lifestyle of the people and the health outcome;

determining another frequency at which the other lifestyle occurs in the lives of the people prior to the health outcome in the lives of the people based on the sensor data;

determining an additional correlation between the other lifestyle and the health outcome in response to the other frequency meeting another threshold; and

refining the proposed correlation to include the determined additional correlation.

7. A system comprising:

memory with instructions stored thereon;

a processor communicatively coupled to the memory and configured to, in response to executing the instructions stored on the memory, cause the system to;

crawl, via a web crawler, the Internet to identify a plurality of websites with content related to human health;

obtain a plurality of words associated with an occurrence in lives of people and a plurality of words associated with a health outcome in the lives of the people;

in response to the content of the plurality of websites including one or more narratives, perform language recognition with respect to the narratives to determine a frequency at which the occurrence occurs earlier in time than the health outcome as told by the narratives;

confirm a proposed correlation between the occurrence and the health outcome in response to the frequency meeting a threshold; and

transmit the confirmed proposed correlation to a user of the health-related data analytics services via an application program interface.

8. The system of claim 7, wherein the processor is further configured to cause the system to refine the proposed correlation between the occurrence and the health outcome by being configured to:

perform text recognition to determine another frequency at which a plurality of words associated with a subset of the occurrence appear simultaneously with the plurality of words associated with the health outcome in the content of each of the plurality of websites; and

update the proposed correlation to include the subset of the occurrence in the proposed correlation in response to the other frequency meeting another threshold.

9. The system of claim 8, wherein the processor is configured to cause the system to refine the proposed correlation between the occurrence and the health outcome by being further configured to:

in response to the content of the plurality of websites including one or more narratives, perform language recognition with respect to the narratives to determine an additional frequency at which the subset of the occurrence occurs earlier in time than the health outcome as told by the narratives; and

update the proposed correlation to include the subset of the occurrence in the proposed correlation in response to the additional frequency meeting an additional threshold.

10. The system of claim 7, wherein the processor is configured to:

perform text recognition to determine another frequency at which the plurality of words associated with the occurrence appear simultaneously with the plurality of words associated with the health outcome in the content of each of the plurality of websites; and

confirm the proposed correlation between the occurrence and the health outcome in response to the other frequency meeting another threshold.

11. The system of claim 7, wherein the processor is configured to:

obtain sensor data from sensors associated with the people, wherein the sensor data indicates the occurrence and the health outcome;

determine another frequency at which the occurrence occurs before the health outcome based on time data associated with the sensor data; and

confirm the proposed correlation in response to the other frequency meeting another threshold.

12. The system of claim 7, wherein the processor is further configured to cause the system to refine the proposed correlation between the occurrence and the health outcome by being configured to:

obtain sensor data from sensors associated with the people, wherein the sensor data indicates another occurrence and the health outcome;

determine another frequency at which the other occurrence occurs prior to the health outcome based on the sensor data;

determine an additional correlation between the other occurrence and the health outcome in response to the other frequency meeting another threshold; and

refine the proposed correlation to include the determined additional correlation.

13. One or more non-transitory computer-readable media that include instructions stored thereon that are executable by one or more processors to perform or control performance of operations to provide health-related data analytics services via a web service, the operations comprising:

crawling, via a web crawler, the Internet to identify a plurality of websites with content related to human health;

obtaining a plurality of words associated with an occurrence in lives of people and a plurality of words associated with a health outcome in the lives of the people;

performing text recognition to determine a frequency at which the plurality of words associated with the occurrence appear simultaneously with the plurality of words associated with the health outcome in the content of each of the plurality of websites identified by crawling the Internet;

confirming a proposed correlation between the occurrence and the health outcome in response to the frequency meeting a threshold; and

transmitting the confirmed proposed correlation to a user of the health-related data analytics services via an application program interface.

14. The one or more non-transitory computer-readable media of claim 13, wherein the operations further comprise:

performing text recognition to determine another frequency at which a plurality of words associated with a subset of the occurrence appear simultaneously with the plurality of words associated with the health outcome in the content of each of the plurality of websites; and

updating the proposed correlation to include the subset of the occurrence in the proposed correlation in response to the other frequency meeting another threshold.

15. The one or more non-transitory computer-readable media of claim 14, wherein refining the proposed correlation between the occurrence and the health outcome further includes:

in response to the content of the plurality of websites including one or more narratives, performing language recognition with respect to the narratives to determine an additional frequency at which the subset of the occurrence occurs earlier in time than the health outcome as told by the narratives; and

updating the proposed correlation to include the subset of the occurrence in the proposed correlation in response to the additional frequency meeting an additional threshold.

16. The one or more non-transitory computer-readable media of claim 13, further comprising:

in response to the content of the plurality of websites including one or more narratives, performing language recognition with respect to the narratives to determine another frequency at which the occurrence occurs earlier in time than the health outcome as told by the narratives; and

confirming the proposed correlation in response to the other frequency meeting another threshold.

17. The one or more non-transitory computer-readable media of claim 13, wherein testing the proposed correlation between the occurrence and the health outcome further includes:

obtaining sensor data from sensors associated with the people, wherein the sensor data indicates the occurrence and the health outcome;

determining another frequency at which the occurrence occurs before the health outcome based on time data associated with the sensor data; and

confirming the proposed correlation in response to the other frequency meeting another threshold.

18. The one or more non-transitory computer-readable media of claim 13, wherein the operations further comprises:

obtaining sensor data from sensors associated with the people, wherein the sensor data indicates another occurrence and the health outcome;

determining another frequency at which the other occurrence occurs prior to the health outcome based on the sensor data;

determining an additional correlation between the other occurrence and the health outcome in response to the other frequency meeting another threshold; and

refining the proposed correlation to include the determined additional correlation.

19. The one or more non-transitory computer-readable media of claim 13, wherein the application program interface configured to allow a provider of the data analytics services to access a portion of the content of the plurality of websites.

20. The one or more non-transitory computer-readable media of claim 13, wherein the plurality of words associated with the occurrence and a plurality of words associated with the health outcome are obtained using text classification.