Machine learning for medical screening recommendations based on patient activity information in social media
US11158427B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 21, 2017 |
| Grant date | Oct 26, 2021 |
| Priority date | — |
| Expiry date | Jun 30, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
According to an embodiment of the present invention, a system analyzes a collection of medical documents to identify within document content risk factors of medical conditions associated with corresponding activities. A processor in the system maps the identified risk factors of the activities to one or more medical tests for the associated medical conditions, and analyzes a medical record and social media communications of a patient to determine participation of the patient in one or more of the corresponding activities. The processor determines the one or more medical tests to conduct from the mapping based on the risk factors associated with the determined activities of the patient. Embodiments of the present invention further include a method and computer program product for analyzing patient activity to conduct appropriate medical tests in substantially the same manner described above.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.