Overview

The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications.

Key Challenges

The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc.

Development of Methods

It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging.

Intended Audience

The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.