Automated intervention system based on channel-agnostic intervention model
US11830629B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 9, 2023 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Jan 9, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method includes generating an intervention model by determining principal components for features of a training set, associating each feature of the training set with one of the principal components, selecting features of the training set most closely correlated with the principal components, performing a regression analysis on the selected features to determine a subset of the selected features that are most closely correlated with a model target, training a machine learning model with the subset, verifying the trained machine learning model with a verification set, and saving the verified trained machine learning model as the intervention model. The method includes determining an intervention expectation indicating a likelihood that the user will take action in response to an intervention being execute, determining a likelihood of a gap in care for the user, selecting and scheduling an intervention for execution based on the care gap likelihood and the intervention expectation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.