Clinical Concept Extraction with Lexical Semantics to Support Automatic Annotation

Extracting clinical concepts, such as problems, diagnosis, and treatment, from unstructured clinical narrative documents enables data-driven approaches such as machine and deep learning to support advanced applications such as clinical decision-support systems, the assessment of disease progression,...

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Veröffentlicht in:	International journal of environmental research and public health 2021-10, Vol.18 (20), p.10564
Hauptverfasser:	Abbas, Asim, Afzal, Muhammad, Hussain, Jamil, Ali, Taqdir, Bilal, Hafiz Syed Muhammad, Lee, Sungyoung, Jeon, Seokhee
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Annotations Atherosclerosis Classification Datasets Deep learning Dictionaries Health services Knowledge Learning algorithms Medical research Organic chemicals Semantics Terminology
Online-Zugang:	Volltext
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