Machine learning techniques for eligibility prediction determinations
US12165081B2 · kind B2 · utility
0Cited by
6References
20Claims
0Family size
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Key dates
| Filing date | Mar 10, 2022 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Jan 13, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/289
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by generating a predicted eligibility score for a predictive entity using a cross-feature-type eligibility prediction machine learning framework.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.