Systems and methods for multi-domain data segmentation, automatic hypotheses generation and outcome optimization
US11978539B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 24, 2022 |
| Grant date | May 7, 2024 |
| Priority date | — |
| Expiry date | May 24, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H40/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Methods, systems, and computer-readable media for multi-domain, multi-modal data segmentation, and automatically generating and refining hypotheses. The method receives data from a plurality of data sources; synthesizing the receive data; identifying trigger event data based on the synthesized data; generating an episode based on a segmentation of the synthesized data and trigger event data; and identifying at least one set of observational features associated with the episode based on the synthesized data and a relevancy metric. The method also includes iteratively generating a hypothesis based on the observational features using machine learning, predicting an outcome based on the hypothesis using machine learning, generating an outcome measure, and validating the hypothesis based on the outcome measure. The method also includes determining an optimal hypothesis upon reaching the threshold value; analyzing coefficients associated with the optimal hypothesis; and identifying a set of factors associated based on the analyzed coefficients.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.