Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network

Studies in Health Technology and Informatics

Volumn 216, Issue , 2015, Pages 624-628

  Wu, Yonghui ^a   Jiang, Min ^a   Lei, Jianbo ^b   Xu, Hua ^a  

^a UNIVERSITY OF TEXAS   (United States)

^b PEKING UNIVERSITY   (China)

Author keywords

Chinese Clinical Text; Clinical Natural Language Processing; Deep Learning; Named Entity Recognition; Neural Network

Indexed keywords

BIOINFORMATICS; CHARACTER RECOGNITION; DEEP LEARNING; HEALTH; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; UNSUPERVISED LEARNING;

CHINESE CLINICAL TEXT; CLINICAL INFORMATION; ELECTRONIC FORMATS; ELECTRONIC HEALTH RECORD (EHRS); FEATURE ENGINEERINGS; LEARNING METHODS; NAMED ENTITY RECOGNITION; UNSUPERVISED FEATURE LEARNING;

DEEP NEURAL NETWORKS;

CONTROLLED CLINICAL TRIAL; EMBEDDING; EXPERIMENTAL MODEL; HUMAN; LEARNING; MODEL; NERVOUS SYSTEM; RANDOMIZED CONTROLLED TRIAL; ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL ONTOLOGY; CHINA; CLASSIFICATION; CONTROLLED VOCABULARY; DATA MINING; ELECTRONIC HEALTH RECORD; LANGUAGE; MACHINE LEARNING; NOMENCLATURE; PROCEDURES;

ALGORITHMS; BIOLOGICAL ONTOLOGIES; CHINA; DATA MINING; ELECTRONIC HEALTH RECORDS; LANGUAGE; MACHINE LEARNING; NEURAL NETWORKS (COMPUTER); TERMINOLOGY AS TOPIC; VOCABULARY, CONTROLLED;

EID: 84952008061     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-564-7-624     Document Type: Conference Paper

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