Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition

Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition

BackgroundAs a risk factor for many diseases, family history (FH) captures both shared genetic variations and living environments among family members. Though there are several systems focusing on FH extraction using natural language processing (NLP) techniques, the evaluatio...

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Bibliographic Details
Main Authors: Shen, Feichen, Liu, Sijia, Fu, Sunyang, Wang, Yanshan, Henry, Sam, Uzuner, Ozlem, Liu, Hongfang
Format: Article
Language:English
Published: JMIR Publications 2021-01-01
Series:JMIR Medical Informatics
Online Access:http://medinform.jmir.org/2021/1/e24008/

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http://medinform.jmir.org/2021/1/e24008/

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