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Volumn 51, Issue 3, 2013, Pages 251-258

Improved cardiovascular risk prediction using nonparametric regression and electronic health record data

Author keywords

cardiovascular disease; electronic health record; Framingham risk score; machine learning; nonparametric regression; risk prediction

Indexed keywords

ADULT; AGED; ARTICLE; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CEREBROVASCULAR DISEASE; ELECTRONIC MEDICAL RECORD; FEMALE; FRAMINGHAM RISK SCORE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL ANALYSIS; NONPARAMETRIC TEST; PREDICTIVE VALUE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; VALIDATION PROCESS;

EID: 84874118623     PISSN: 00257079     EISSN: 15371948     Source Type: Journal    
DOI: 10.1097/MLR.0b013e31827da594     Document Type: Article
Times cited : (50)

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