Coronary artery disease risk assessment from unstructured electronic health records using text mining

Journal of Biomedical Informatics

Volumn 58, Issue , 2015, Pages S203-S210

  Jonnagaddala, Jitendra ^a,b   Liaw, Siaw Teng ^a   Ray, Pradeep ^b   Kumar, Manish ^a   Chang, Nai Wen ^c,e   Dai, Hong Jie ^d  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c ACADEMIA SINICA   (Taiwan)

^d NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^e NATIONAL TAITUNG UNIVERSITY   (Taiwan)

Author keywords

Coronary artery disease; EHR; Framingham risk score; Temporal data; Text mining

Indexed keywords

BLOOD PRESSURE; DISEASES; HEALTH RISKS; HEART; HOSPITAL DATA PROCESSING; RECORDS MANAGEMENT; RISK ASSESSMENT;

CORONARY ARTERY DISEASE; EHR; RISK SCORE; TEMPORAL DATA; TEXT MINING;

DATA MINING;

CHOLESTEROL; HIGH DENSITY LIPOPROTEIN CHOLESTEROL;

ACCURACY; ADULT; AGE DISTRIBUTION; ARTICLE; BLOOD PRESSURE; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; CORONARY ARTERY DISEASE; DATA MINING; DIABETES MELLITUS; DIABETIC PATIENT; ELECTRONIC HEALTH RECORD; FAMILY HISTORY; FRAMINGHAM RISK SCORE; GENDER; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RELIABILITY; RISK ASSESSMENT; RISK FACTOR; SMOKING; AGED; AUTOMATED PATTERN RECOGNITION; CARDIOVASCULAR DISEASES; COHORT ANALYSIS; COMORBIDITY; COMPUTER SECURITY; CONFIDENTIALITY; CONTROLLED VOCABULARY; DIABETES COMPLICATIONS; FEMALE; INCIDENCE; LONGITUDINAL STUDY; MALE; MIDDLE AGED; NATURAL LANGUAGE PROCESSING; NEW SOUTH WALES; ORGANIZATION AND MANAGEMENT; PROCEDURES; VERBAL COMMUNICATION;

AGED; CARDIOVASCULAR DISEASES; 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; NEW SOUTH WALES; PATTERN RECOGNITION, AUTOMATED; RISK ASSESSMENT; VOCABULARY, CONTROLLED;

EID: 84940972699     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.08.003     Document Type: Article

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