Systems and methods for predicting medications to prescribe to a patient based on machine learning
US11101029B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2018 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | Apr 12, 2039 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for predicting medications to prescribe to a patient includes a text encoding module and a medication prediction module. The text encoding module is configured to obtain a clinical-information vector from clinical information of the patient. The medication prediction module configured to apply a machine-learned medication-prediction algorithm to the clinical-information vector to select a subset of medications to prescribe to the patient. The machine-learned medication-prediction algorithm is designed with a diversity-promoting regularization model, and is configured to simultaneously consider correlations among different medications and dependencies between patient information and medications when selecting a subset of medications to prescribe to the patient.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.