Generating risk determination machine learning frameworks using per-horizon historical claim sets
US11955244B2 · kind B2 · utility
0Cited by
5References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jul 2, 2021 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Sep 20, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
There is a need for more accurate and more efficient predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a method includes generating, by a processor, utilizing a risk determination machine learning model and based at least in part on one or more hidden features of the first predictive entity, the predicted risk measure, and performing one or more prediction-based actions based at least in part on the predicted risk measure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.