Using local lexicalized rules to identify heart disease risk factors in clinical notes

Journal of Biomedical Informatics

Volumn 58, Issue , 2015, Pages S183-S188

  Karystianis, George ^a,d   Dehghan, Azad ^a,d   Kovacevic, Aleksandar ^b   Keane, John A ^a   Nenadic, Goran ^a,c  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF NOVI SAD   (Serbia)

^c The Farr Institute of Health Informatics Research   (United Kingdom)

^d CHRISTIE HOSPITAL   (United Kingdom)

Author keywords

Heart disease; Risk factors; Rule based modelling; Text mining; Vocabularies

Indexed keywords

CARDIOLOGY; COMPUTER AIDED DESIGN; COMPUTER AIDED DIAGNOSIS; DATA HANDLING; HEART; NATURAL LANGUAGE PROCESSING SYSTEMS; RISK ASSESSMENT; TEXT MINING;

CORONARY ARTERY DISEASE; EPIDEMIOLOGICAL STUDIES; HEART DISEASE; HUMAN POPULATION; NATURAL LANGUAGE PROCESSING; RISK FACTORS; RULE BASED; VOCABULARIES;

DISEASES;

ARTICLE; BODY MASS; CARDIOVASCULAR RISK; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DIABETES MELLITUS; FAMILY HISTORY; GLUCOSE BLOOD LEVEL; HEMOGLOBIN BLOOD LEVEL; HUMAN; HYPERLIPIDEMIA; HYPERTENSION; MEASUREMENT PRECISION; NATURAL LANGUAGE PROCESSING; OBESITY; PRIORITY JOURNAL; SMOKING; WAIST CIRCUMFERENCE; AGED; AUTOMATED PATTERN RECOGNITION; CARDIOVASCULAR DISEASES; 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; SEMANTICS; UNITED KINGDOM; 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; PATTERN RECOGNITION, AUTOMATED; RISK ASSESSMENT; SEMANTICS; UNITED KINGDOM; VOCABULARY, CONTROLLED;

EID: 84939817187     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.06.013     Document Type: Article

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