On Expert-Machine Partnership to Predict Mortality of Congestive Heart Failure Patients

This study examines the combined use of machine learning (ML) and expert judgment in predicting 30-day mortality for congestive heart failure (CHF) patients. It compares models using either expert-selected, ML-selected, or integrated features. The integrated model, merging expert and ML insights, outperforms others in predicting mortality risk, underscoring the value of combining human expertise and ML in clinical decision-making.</p