Prediction models for early risk detection of cardiovascular event

Journal of Medical Systems

Volumn 36, Issue 2, 2012, Pages 521-531

  Purwanto, ^a   Eswaran, Chikkannan ^a   Logeswaran, Rajasvaran ^a   Rahman, Abdul Rashid Abdul ^b  

^a MULTIMEDIA UNIVERSITY   (Malaysia)

^b CYBERJAYA UNIVERSITY COLLEGE OF MEDICAL SCIENCES   (Malaysia)

Author keywords

Bayesian Networks; Cardiovascular disease; Heart attack; Logistic Regression; Multilayer Perceptron; Prediction models; Radial Basis Function

Indexed keywords

ARTICLE; CARDIOVASCULAR RISK; FEMALE; HEART INFARCTION; HUMAN; MAJOR CLINICAL STUDY; MALE; MULTILAYER PERCEPTRON MODEL; PREDICTION; PROCESS DESIGN; PROCESS MODEL; RISK ASSESSMENT; ADULT; AGE; AGED; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BLOOD; BLOOD PRESSURE; BODY MASS; CARDIOVASCULAR DISEASE; EARLY DIAGNOSIS; MIDDLE AGED; SEX DIFFERENCE; SMOKING; STATISTICAL MODEL; THEORETICAL MODEL;

LIPID;

ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; BAYES THEOREM; BLOOD PRESSURE; BODY MASS INDEX; CARDIOVASCULAR DISEASES; EARLY DIAGNOSIS; FEMALE; HUMANS; LIPIDS; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, THEORETICAL; MYOCARDIAL INFARCTION; NEURAL NETWORKS (COMPUTER); RISK ASSESSMENT; SEX FACTORS; SMOKING;

EID: 84863228265     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-010-9497-9     Document Type: Article

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