As the healthcare industry continues to expand, it must utilize technology to ensure efficiencies are maintained. Healthcare needs to move in a direction where computational methods and algorithms can relieve the routine work of medical doctors, leaving them more time to carry out more important and skilled tasks such as surgery.

Computational Methods and Algorithms for Medicine and Optimized Clinical Practice discusses some of the most interesting aspects of theoretical and applied research covering complementary facets of computational methods and algorithms to achieve greater efficiency and support medical personnel. Featuring research on topics such as healthcare reform, artificial intelligence, and disease detection, this book will particularly appeal to medical professionals and practitioners, hospitals, administrators, students, researchers, and academicians.

Topics Covered
The many academic areas covered in this publication include, but are not limited to:
•Artificial Intelligence
•Clinical Decision Systems
•Communication Technology
•Disease Detection
•Healthcare Reform
•Machine Learning
•Mental Disorders
•Predictive Modeling
•Smart Technology
•Virtual Reality
•Table of Contents and List of Contributor