Comparison of Models for Predicting Outcomes in Patients with Coronary Artery Disease Focusing on Microsimulation

Abstract

BACKGROUND Physicians have difficulty to subjectively estimate the cardiovascular risk of their patients. Using an estimate of global cardiovascular risk could be more relevant to guide decisions than using binary representation (presence or absence) of risk factors data. The main aim of the paper is to compare different models of predicting the progress of… (More)

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