Systems and methods for predicting health outcomes
US12381004B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 24, 2022 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Mar 17, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A system and method are disclosed for predicting short term health outcomes based on data collected by a wearable device such as an activity tracker or a smart watch. Artificial Intelligence (AI) algorithms are configured to process an input vector that includes monitored parameter data collected by the wearable device as well as embedding data obtained from health records corresponding to a user account registered to the wearable device. In particular, a framework is defined that includes a random forest model configured to classify a user based on the monitored parameter data and embedding data. Based on a positive health outcome classification, a minimum value is assigned to a health index value for the user or, based on a negative health outcome classification, a gradient boosting machine is configured to generate the health index value. Various operations can be performed based on the assigned health index value for the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.