Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model Database

Circulation: Cardiovascular Quality and Outcomes

Volumn 8, Issue 4, 2015, Pages 368-375

  Wessler, Benjamin S ^a   Yh, Lana Lai ^a   Kramer, Whitney ^b   Cangelosi, Michael ^c   Raman, Gowri ^d   Lutz, Jennifer S ^a   Kent, David M ^a  

^a TUFTS MEDICAL CENTER   (United States)

^b Business Intelligence and Analytics Iora Health   (United States)

^c BOSTON SCIENTIFIC CORPORATION   (United States)

^d TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

cardiovascular diseases; cerebrovascular disorders; individualized medicine; logistic models; prognosis

Indexed keywords

ACUTE CORONARY SYNDROME; AORTA DISEASE; ARTICLE; CALIBRATION; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CEREBROVASCULAR ACCIDENT; CORONARY ARTERY DISEASE; DATA BASE; DIABETES MELLITUS; FOLLOW UP; HEART ARRHYTHMIA; HEART FAILURE; HUMAN; ISCHEMIC HEART DISEASE; MORBIDITY; MORTALITY; OUTCOME ASSESSMENT; PERIPHERAL VASCULAR DISEASE; PREDICTION; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); SMOKING; SYSTEMATIC REVIEW; VENOUS THROMBOEMBOLISM; CARDIOVASCULAR DISEASES; HEALTH; PROCEDURES; RISK ASSESSMENT; RISK FACTOR; THEORETICAL MODEL; TRENDS;

CARDIOVASCULAR DISEASES; GLOBAL HEALTH; HUMANS; MODELS, THEORETICAL; MORBIDITY; RISK ASSESSMENT; RISK FACTORS;

EID: 84937701283     PISSN: 19417713     EISSN: 19417705     Source Type: Journal    
DOI: 10.1161/CIRCOUTCOMES.115.001693     Document Type: Article

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