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Application of Neural Networks and Other Artificial Adaptive Systems in Prediction and Data Mining of Risk Psychological Profile for CHD

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Clinical Psychology and Heart Disease

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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Authors and Affiliations

  1. Pharma Department, Bracco SpA, Milan, Italy

    Dr. E. Grossi MD (Director Medical Affairs)

  2. Department of Psychology, Catholic University of Milan, Milan

    A. Compare PhD, MS, PsyD (Researcher in Clinical Psychology)

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  1. Dr. E. Grossi MD
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  2. A. Compare PhD, MS, PsyD
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© 2006 Springer-Verlag Italia

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Grossi, E., Compare, A. (2006). Application of Neural Networks and Other Artificial Adaptive Systems in Prediction and Data Mining of Risk Psychological Profile for CHD. In: Clinical Psychology and Heart Disease. Springer, Milano. https://doi.org/10.1007/978-88-470-0378-1_16

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  • DOI: https://doi.org/10.1007/978-88-470-0378-1_16

  • Publisher Name: Springer, Milano

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  • Online ISBN: 978-88-470-0378-1

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