Machine learning models for assessing risk factors affecting health care costs: 12-month exercise-based cardiac rehabilitation
Arto J. Hautala,
Babooshka Shavazipour,
Bekir Afsar
et al.
Abstract:IntroductionExercise-based cardiac rehabilitation (ECR) has proven to be effective and cost-effective dominant treatment option in health care. However, the contribution of well-known risk factors for prognosis of coronary artery disease (CAD) to predict health care costs is not well recognized. Since machine learning (ML) applications are rapidly giving new opportunities to assist health care professionals’ work, we used selected ML tools to assess the predictive value of defined risk factors for health care … Show more
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