Wage garnishments processing using machine learning for predicting field values
US11551318B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 22, 2019 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Aug 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An illustrative embodiment provides a computer-implemented method for processing wage garnishment court orders includes obtaining a court order for wage garnishment for a user. The method also includes predicting values for a first subset of a number of fields for executing wage garnishment according to the court order using a rule engine. The method also includes predicting values for a second subset of the number of fields using a machine learning engine, wherein the second subset of the number of fields includes missing fields for which the rule engine could not provide a prediction. The machine learning engine includes one of a plurality of classification algorithms. The one of the plurality of classification algorithms selected to use for the machine learning engine for predicting field values is selected according to at least one of accuracy, speed, size of model, and explainability.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.