Methods to develop an electronic medical record phenotype algorithm to compare the risk of coronary artery disease across 3 chronic disease cohorts

PLoS ONE

Volumn 10, Issue 8, 2015, Pages

  Liao, Katherine P ^a,b   Ananthakrishnan, Ashwin N ^b,c   Kumar, Vishesh ^b,c   Xia, Zongqi ^b,c   Cagan, Andrew ^d   Gainer, Vivian S ^d   Goryachev, Sergey ^d   Chen, Pei ^e   Savova, Guergana K ^b,e   Agniel, Denis ^f   Churchill, Susanne ^d   Lee, Jaeyoung ^g   Murphy, Shawn N ^b,c   Plenge, Robert M ^a,b   Szolovits, Peter ^h   Kohane, Isaac ^b,e   Shaw, Stanley Y ^b,c   Karlson, Elizabeth W ^a,b   Cai, Tianxi ^e  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d PARTNERS HEALTHCARE   (United States)

^e BOSTON CHILDREN S HOSPITAL   (United States)

^f HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^g TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^h MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CAD ALGORITHM; CARDIOVASCULAR RISK; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; CORONARY ARTERY DISEASE; CROSS-SECTIONAL STUDY; DIABETES MELLITUS; ELECTRONIC MEDICAL RECORD; FEMALE; HIGH RISK PATIENT; HUMAN; HYPERLIPIDEMIA; HYPERTENSION; INFLAMMATORY BOWEL DISEASE; MAJOR CLINICAL STUDY; MALE; NATURAL LANGUAGE PROCESSING; PREDICTIVE VALUE; PREVALENCE; RHEUMATOID ARTHRITIS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SMOKING; VALIDATION PROCESS; AGED; ALGORITHM; ARTHRITIS, RHEUMATOID; COMPLICATION; ELECTRONIC HEALTH RECORD; HYPERLIPIDEMIAS; INFLAMMATORY BOWEL DISEASES; MIDDLE AGED; PATHOPHYSIOLOGY; PHENOTYPE; RISK FACTOR;

ADULT; AGED; ALGORITHMS; ARTHRITIS, RHEUMATOID; CORONARY ARTERY DISEASE; DIABETES MELLITUS; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; HYPERLIPIDEMIAS; INFLAMMATORY BOWEL DISEASES; MALE; MIDDLE AGED; NATURAL LANGUAGE PROCESSING; PHENOTYPE; RISK FACTORS;

EID: 84942898092     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0136651     Document Type: Article

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