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Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking

OBJECTIVE: Normalizing clinical mentions to concepts in standardized medical terminologies, in general, is challenging due to the complexity and variety of the terms in narrative medical records. In this article, we introduce our work on a clinical natural language processing (NLP) system to automat...

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Bibliografski detalji
Izdano u:J Am Med Inform Assoc
Glavni autori: Chen, Long, Fu, Wenbo, Gu, Yu, Sun, Zhiyong, Li, Haodan, Li, Enyu, Jiang, Li, Gao, Yuan, Huang, Yang
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7647369/
https://ncbi.nlm.nih.gov/pubmed/33029642
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa155
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