<ul><li>Several studies have focused on machine/deep learning applications in healthcare and predicting hospital readmissions.</li><li>Different approaches such as clustering procedures, Bayesian networks, and deep learning algorithms have been used to predict patient readmission rates.</li><li>Studies have achieved accuracies ranging from 66% to 85% in predicting patient readmissions using machine learning techniques.</li><li>Predictive models leveraging patient data and clinical information have shown promising results in forecasting hospital readmissions, contributing to the optimization of healthcare outcomes.</li></ul>

A Survey of Machine Learning Approaches for Predicting Hospital Readmission

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