The Athlete’s Heart and Machine Learning: A Review of Current Implementations and Gaps for Future Research

The results show that over the last 11 years, there has been a growing desire of leveraging ML techniques to help further the understanding of the athlete's heart, whether it be by expanding the knowledge of the physiological changes or by improving the accuracies of models to help improve the treatments and disease management.