Machine learning for activity monitoring and validity identification
US12315006B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 2, 2023 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Apr 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/02
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Techniques for improved machine learning are provided. Activity data describing an activity for a financial account of a resident in a residential care facility is received, and a set of attributes corresponding to the activity is extracted from the activity data, comprising determining a first attribute of the set of attributes by processing unstructured text associated with the activity using one or more natural language processing techniques. A validity score is generated by processing the set of attributes using a trained machine learning model, where the validity score indicates a probability that the activity is valid. In response to determining that the validity score is below a defined threshold, one or more interventions are initiated for the resident.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.