Neural network architecture for performing medical coding
US11176441B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 1, 2018 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Sep 17, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H70/60
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Mechanisms are provided to implement a medical coding engine to perform medical coding using a neural network architecture that leverages hierarchical semantics between medical concepts. The medical coding engine configures a medical coding neural network to comprise an first layer of nodes comprising preferred terminology (PT) nodes, a second layer comprising lowest level terminology (LLT) nodes, and a third layer comprising weighted values for each connection between each PT node and each LLT node forming a PT node/LLT node connection. Responsive to receiving an adverse event from a cognitive system, a PT node is identified in the first layer associated with a citation from the adverse event. One or more nodes are identified from the second layer based on the identification PT node and a weight associated with the PT node/LLT node connection. A medical code associated with each the one or more LLT nodes is then output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.