Identifying and indexing discriminative features for disease progression in observational data
US11177024B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2017 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Jul 15, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/10
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A system (or method) for generation and employment of disease progression model(s) that facilitates identifying and indexing discriminative features for disease progression in observational data. The disease progression prediction system comprises a processor that executes computer executable components stored in memory. A receiving component receives and learns observational patient data. A model generation component builds a preliminary disease progression model. An identification component identifies discriminative clinical features for different disease stages. A ranking component ranks discriminative powers of clinical features for respective pairs of disease stages; wherein the model generation component employs the ranked features to generate a final disease progression model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.