Data integration and prediction for fraud, waste and abuse
US11361381B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 17, 2018 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | Mar 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Data threat evaluation systems and methods are described. A data model structure includes a data subset from the plurality of data types that predate a known threat; this third data subset includes data types from both a first data subset and a second data subset. A model schema extracts, from the data subset, data types of the first subset that predicate and indicate the threat, the model schema to produce at least an individualized data threat regression model, a script originator regression model, and a script filler data threat regression model using the extracted data types. The system may use the models back on the data set to identify potential threats. The system can operate to integrate data to predict fraud, waste or abuse.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.