Machine-learning based query construction and pattern identification for amyotrophic lateral sclerosis
US11862336B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 23, 2018 |
| Grant date | Jan 2, 2024 |
| Priority date | — |
| Expiry date | Dec 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program product, and system continually obtain machine-readable data sets related to a patient population diagnosed with a medical condition from one or more databases (different computing nodes in the distributed environment). The processor(s) continually applies a recurrent neural network to the plurality of data sets to machine learn optimal features for classifying patients into multiple categories related to presence or progression of the medical condition. The processor(s) continually generates, based on the machine learned optimal set of features, intermediate features, based on the weightings of a portion of the machine learned optimal set of features, i.e., a model. The processor(s) evaluates the records and classifies records into the categories, based on a current model (model generated in real-time).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.