Machine learning model automation of user interface transformation
US12248660B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 7, 2023 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Aug 7, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system includes memory hardware storing processor-executable instructions, a persona, and a data structure associated with the persona. Processor hardware executes the processor-executable instructions. The instructions include generating a graphical user interface and, in response to a first condition, inputting a first set of explanatory variables to a first trained machine learning model to generate a first metric and transforming the graphical user interface according to the persona and the first metric. The instructions include, in response to a second condition, inputting a second set of explanatory variables to a second trained machine learning model to generate a second metric and transforming the graphical user interface according to the persona and the second metric. The first trained machine learning model is different from the second trained machine learning model. The instructions include automatically approving a first prior authorization prescription in response to the first metric reaching a threshold value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.