Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies

Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies

Abstract Background Free-text descriptions in electronic health records (EHRs) can be of interest for clinical research and care optimization. However, free text cannot be readily interpreted by a computer and, therefore, has limited value. Natural Language Processing (NLP) algorithms can make free...

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Bibliographic Details
Main Authors: Martijn G. Kersloot, Florentien J. P. van Putten, Ameen Abu-Hanna, Ronald Cornet, Derk L. Arts
Format: Article
Language:English
Published: BMC 2020-11-01
Series:Journal of Biomedical Semantics
Subjects:
Ontologies
Entity linking
Annotation
Concept mapping
Named-entity recognition
Natural language processing
Online Access:http://link.springer.com/article/10.1186/s13326-020-00231-z

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http://link.springer.com/article/10.1186/s13326-020-00231-z

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