Detection of heartbeat abnormalities from phonocardiography using machine learning

The paper presents the application of machine learning (MO) methods for detecting cardiovascular diseases based on phonocardiograms. Data on the high prevalence of heart disease among individuals are presented, which led to the development of models for use as additional tools for predicting heart disease. Stresses that the improvement of predictive models, development of an electronic stethoscope and their implementation in clinical practice is an important element in support of medical decision-making should be based on interdisciplinary cooperation between clinicians and specialists in the field of information technology.