Books in the Chapman & Hall/CRC Healthcare Informatics Series series

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data.

This book covers the state-of-the-art techniques of machine learning and their applications in the medical field. It presents several Computer-aided diagnosis (CAD) systems, which have played an important role in the diagnosis of several diseases in the past decade e.g., cancer detection, resulting in the development of several successful systems.

Process modeling and process management are traversal disciplines which have earned more and more relevance over the last two decades. Featuring contributions from leading experts, this book provides an in-depth analysis of what process modeling and management techniques can do in healthcare, the major challenges faced, and challenges to come.