Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes

Journal of Biomedical Informatics

Volumn 58, Issue , 2015, Pages S128-S132

  Khalifa, Abdulrahman ^a   Meystre, Stéphane ^a  

^a UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

Author keywords

Cardiovascular disease; Clinical narrative; Information extraction; Machine learning; Medical records; Natural language processing; Risk factors; Text mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; BLOOD PRESSURE; COMPUTATIONAL LINGUISTICS; DATA MINING; HEALTH RISKS; INFORMATION RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS;

CARDIO-VASCULAR DISEASE; CLINICAL NARRATIVE; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING; RISK FACTORS; TEXT MINING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ARTICLE; CARDIOVASCULAR RISK; CLASSIFIER; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DATA EXTRACTION; DIABETES MELLITUS; HYPERLIPIDEMIA; HYPERTENSION; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING; OBESITY; PRIORITY JOURNAL; RISK ASSESSMENT; SMOKING; AGED; AUTOMATED PATTERN RECOGNITION; CARDIOVASCULAR DISEASES; COHORT ANALYSIS; COMORBIDITY; COMPUTER SECURITY; CONFIDENTIALITY; CONTROLLED VOCABULARY; DATA MINING; DIABETES COMPLICATIONS; ELECTRONIC HEALTH RECORD; FEMALE; HUMAN; INCIDENCE; LONGITUDINAL STUDY; MALE; MIDDLE AGED; ORGANIZATION AND MANAGEMENT; PROCEDURES; UTAH; 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; UTAH; VOCABULARY, CONTROLLED;

EID: 84940755209     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.08.002     Document Type: Article

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