An automatic system to identify heart disease risk factors in clinical texts over time

Journal of Biomedical Informatics

Volumn 58, Issue , 2015, Pages S158-S163

  Chen, Qingcai ^a   Li, Haodi ^a   Tang, Buzhou ^a   Wang, Xiaolong ^a   Liu, Xin ^a   Liu, Zengjian ^a   Liu, Shu ^a   Wang, Weida ^a   Deng, Qiwen ^b   Zhu, Suisong ^b   Chen, Yangxin ^c   Wang, Jingfeng ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b The 6th Affiliated Hospital of Shenzhen University Health Science Center   (China)

^c SUN YAT SEN MEMORIAL HOSPITAL OF SUN YAT SEN UNIVERSITY   (China)

Author keywords

Clinical information extraction; Heart disease; Machine learning; Risk factor identification

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; DISEASES; HEART; LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

AUTOMATIC SYSTEMS; HEART DISEASE; MEDICAL HISTORY; NATURAL LANGUAGE PROCESSING; PIPE-LINE SYSTEMS; RECENT PROGRESS; RISK FACTORS; RULE-BASED APPROACH;

RISK MANAGEMENT;

BETA ADRENERGIC RECEPTOR BLOCKING AGENT;

ARTICLE; CARDIOVASCULAR RISK; CONDITIONAL RANDOM FIELD; CONTROLLED STUDY; CORONARY ARTERY DISEASE; FAMILY HISTORY; HUMAN; HYPERLIPIDEMIA; HYPERTENSION; MACHINE LEARNING; MAJOR CLINICAL STUDY; NATURAL LANGUAGE PROCESSING; OBESITY; PRIORITY JOURNAL; SMOKING; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; AGED; AUTOMATED PATTERN RECOGNITION; CARDIOVASCULAR DISEASES; CHINA; COHORT ANALYSIS; COMORBIDITY; COMPUTER SECURITY; CONFIDENTIALITY; CONTROLLED VOCABULARY; DATA MINING; DIABETES COMPLICATIONS; ELECTRONIC HEALTH RECORD; FEMALE; INCIDENCE; LONGITUDINAL STUDY; MALE; MIDDLE AGED; ORGANIZATION AND MANAGEMENT; PROCEDURES; RISK ASSESSMENT; VERBAL COMMUNICATION;

AGED; CARDIOVASCULAR DISEASES; CHINA; COHORT STUDIES; COMORBIDITY; COMPUTER SECURITY; CONFIDENTIALITY; DATA MINING; DIABETES COMPLICATIONS; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; INCIDENCE; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; NARRATION; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; RISK ASSESSMENT; VOCABULARY, CONTROLLED;

EID: 84941670321     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.09.002     Document Type: Article

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