Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis
This 2017 study utilized data from 6,814 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) to evaluate the effectiveness of machine learning, specifically random survival forests, in predicting six cardiovascular outcomes over a 12-year follow-up. Incorporating 735 variables from imaging, biomarker panels, ECG, and questionnaires, the machine learning models outperformed