Machine learning–based 30-day readmission prediction models for patients with heart failure: a systematic review

Heart failure (HF) is one of the most frequent diagnoses for 30-day readmission after hospital discharge. Nurses have a role in reducing unplanned readmission and providing quality of care during HF trajectories. This systematic review assessed the quality and significant factors of machine learning (ML)-based 30-day HF readmission prediction models.