Method and system for data processing to predict health condition of a human subject
US10468136B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2016 |
| Grant date | Nov 5, 2019 |
| Priority date | — |
| Expiry date | Jun 4, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H10/60
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are embodiments of method and system to predict health condition of a human subject. The method comprises receiving historical human-subject related data including records corresponding to multiple data views. The method estimates one or more latent variables based on: a first value indicative of count of records in a cluster, a second value indicative of count of records, and a third value indicative of a parameter utilizable to predict a fourth value. The fourth value corresponds to selection probability of a D-vine pair copula family, of a D-vine mixture model, utilizable to model a cluster. The method generates the D-vine mixture model based on the estimated one or more latent variables. The method further comprises receiving multi-view data of a second human subject and predicting health condition of the second human subject based on the multi-view data using a classifier trained based on the estimated latent variables.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.