Personalized intervention based on machine learning of behavior change states
US11132920B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2017 |
| Grant date | Sep 28, 2021 |
| Priority date | — |
| Expiry date | Mar 8, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04M1/72454
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A system provides an intervention for a user and comprises at least one processor. The system monitors behavior and context of a user to generate a behavior history. One or more models are utilized to determine an intervention for the user to induce a behavior modification, wherein the one or more models map interventions to user context and behavior and utilize the behavior history to determine an effective intervention for the user. The intervention is provided to the user and feedback is received in response to the intervention. The one or more models are updated based on the feedback. Embodiments of the present invention further include a method and computer program product for providing an intervention to a user in substantially the same manner described above.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.