Current and consolidated data suggest that cardiac rehabilitation (CR) may help reduce standard cardiac risk factors [1] in patients with coronary heart disease (CHD) by increasing functional capacity [2]. Cardiac performance in exercise training is the acknowledged endpoint of CR [3], [4].Metabolic equivalents (MET) and heart rate recovery (HRR) are measures of cardiac performance in exercise training; and, during the past two decades, they have become well-established predictors of cardiovascular and overall mortality [5]–[7].

Application of neural networks and other artificial adaptive systems in prediction and data mining of risk psychological profile for CHD

COMPARE, Angelo
2006-01-01

Abstract

Current and consolidated data suggest that cardiac rehabilitation (CR) may help reduce standard cardiac risk factors [1] in patients with coronary heart disease (CHD) by increasing functional capacity [2]. Cardiac performance in exercise training is the acknowledged endpoint of CR [3], [4].Metabolic equivalents (MET) and heart rate recovery (HRR) are measures of cardiac performance in exercise training; and, during the past two decades, they have become well-established predictors of cardiovascular and overall mortality [5]–[7].
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Grossi, Enzo; Compare, Angelo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/31208
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