Medical concept sorting based on machine learning of attribute value differentiation
US10937551B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 27, 2017 |
| Grant date | Mar 2, 2021 |
| Priority date | — |
| Expiry date | Oct 31, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H70/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Mechanisms are provided for performing entity differentiation. A cognitive medical system ingests a corpus of medical content having references to medical entities, and performs entity recognition on the medical content to identify the medical entities. Responsive to the cognitive medical system identifying a medical entity having a plurality of annotations for a same medical entity attribute, an entity differentiation component executes an ordered set of entity differentiation algorithms, corresponding to the medical entity, for differentiating medical entity attribute values. The entity differentiation component runs the ordered set of entity differentiation algorithms, in order, on the plurality of annotations for the attribute to generate a ranked list of medical entity attribute values corresponding to the annotations in the plurality of annotations. The cognitive medical system performs a cognitive operation on the medical entity based on the ranked list of medical entity attribute values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.