Neural network artificial intelligence system for class-based modeling
US12125598B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 8, 2023 |
| Grant date | Oct 22, 2024 |
| Priority date | — |
| Expiry date | May 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H15/00
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method includes receiving historical data collected from a client associated with members. The historical data includes per-member metrics for the client and demographic information for the members. The method includes identifying therapeutic classes for the client based on the per-member metrics and the demographic information. The method includes segmenting the historical data into a data set for each therapeutic class. The method includes, for each therapeutic class of the set of therapeutic classes, determining a pattern for the per-member metrics corresponding to the respective therapeutic class, generating a respective predictive model based on the pattern, and training a neural network of the respective predictive model using a two-stage training process. The predictive model is configured to generate, as output for the therapeutic class, a per-member metric prediction for an input period of future time. The method includes generating predictions for the therapeutic classes using the predictive models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.