Welcome to the latest volume of the Journal of Machine Learning for Healthcare Decision Support! Within these pages, we present cutting-edge research at the intersection of machine learning and healthcare decision-making. From predictive modeling for diagnosis to clinical decision support systems, our contributors offer innovative solutions to enhance patient care and optimize healthcare delivery.

In this volume, esteemed researchers delve into a wide range of topics, offering insights and methodologies to address the complex challenges faced by healthcare practitioners. Through rigorous empirical analyses and real-world deployment studies, we aim to revolutionize healthcare decision support, empowering clinicians with actionable insights and ultimately improving patient outcomes globally.