Using classified text and deep learning algorithms to identify medical risk and provide early warning
US9754220B1 · kind B1 · utility
28Cited by
9References
11Claims
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Key dates
| Filing date | Jan 23, 2017 |
| Grant date | Sep 5, 2017 |
| Priority date | — |
| Expiry date | Jan 23, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Deep learning is used to identify specific, potential risks of missed diagnosis for a patient and reporting the risk to healthcare provider. The system involves mining and using existing electronic health records for specific medical diagnosis to train one or more deep learning algorithms, and then examining the internal electronic health record of the patient with the trained algorithm, to generate a scored output that will enable a healthcare provider to be alerted to potential risks of a missed diagnosis.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.