Systems and methods for transforming an interactive graphical user interface according to machine learning models
US11720228B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 5, 2021 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Aug 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computerized method for transforming an interactive graphical user interface according to machine learning includes selecting a persona, loading a data structure associated with the selected persona, and generating the interactive graphical user interface. The method includes, in response to a user selecting a first selectable element, inputting a first set of explanatory variables to a first trained machine learning model to generate a first metric, and transforming the user interface according to the selected persona and the first metric. The method includes, in response to the user selecting a second selectable element, inputting a second set of explanatory variables to a second trained machine learning model to generate a second metric, and transforming the user interface according to the selected persona and the second metric. In various implementations, first metric is a first probability of the persona being approved for a first prior authorization prescription.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.