Machine learning models for evaluating differences between groups and methods thereof
US10839318B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 12, 2018 |
| Grant date | Nov 17, 2020 |
| Priority date | — |
| Expiry date | Dec 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T11/206
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and computer readable media are disclosed for generating, modifying, and using machine learning models to predict and evaluate differences between groups. Methods disclosed herein may include identifying variables that characterize members of a first group, generating shift indicators using the identified variables, generating a machine learning model using the shift indicators and the first group, using the machine learning model and the group to predict shifts between the first group and a predicted second group, determining an aggregate population shift and an aggregate performance shift between the first group and an actual second group, and identifying an impact of one or more of the shift indicators on the aggregate population shift or performance shift. Systems and methods disclosed herein may be configured to receive requests to predict and evaluate differences between group, and to return such predictions and evaluations to one or more users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.