Identifying Clinical Terms in Medical Text Using Ontology-Guided Machine Learning

Automatic recognition of medical concepts in unstructured text is an important component of many clinical and research applications, and its accuracy has a large impact on electronic health record analysis. The mining of medical concepts is complicated by the broad use of synonyms and nonstandard te...

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Veröffentlicht in:	JMIR medical informatics 2019-05, Vol.7 (2), p.e12596-e12596
Hauptverfasser:	Arbabi, Aryan, Adams, David R, Fidler, Sanja, Brudno, Michael
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Classification Datasets Dictionaries Electronic health records Genetic disorders Information retrieval Intensive care Machine learning Methods Natural language processing Ontology Original Paper Tumors
Online-Zugang:	Volltext
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