Machine learning predictive deviation and remediation
US11436633B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2019 |
| Grant date | Sep 6, 2022 |
| Priority date | — |
| Expiry date | Aug 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0202
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A machine-learning algorithm is trained with features relevant to a modeled set of input directed to patterns of activities specific to a given behavior. The trained algorithm is also trained on success and failures of remediation actions that change or do not change the given behavior. The trained algorithm is then provided the modeled set of input at predefined intervals of time and supplies as output expected deviations/changes that are predicted for the given behavior along with an indication as to whether the remediation actions are likely to prevent or change the expected behaviors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.