 This study compares the performance of a deep learning, DL, and traditional machine learning, ML, model and predicting 100-day readmissions in patients with heart failure, HF. The results suggest that an explainable ML model, which provides actionable insights, can perform similarly to the DL model and outperform conventional scoring methods. This article was authored by Amira Solomon, Bjornagval, Cobra Etmanani, and others.