This comprehensive collection of papers is a valuable resource, presenting different approaches and areas of healthcare that can be tackled with data analytics. The book’s five parts cover different uses of data in the healthcare domain:

(1) Data exploration and visualization in day-to-day practice;

(2) Modeling and simulation based on data for common issues such as healthy eating and support for the elderly;

(3) Machine learning techniques for classifying obesity and mammography images;

(4) Statistical data and systematic approaches for building best practices in hospital care, for example, to quantify the utilization of hospital services, to measure medical expenditures in diabetes care, and to analyze behavioral factors influencing weight; and

(5) A look to the future, specifically the use of smart homes in healthcare and biomedical data integration.

Organized and structured in a balanced way, chapters can be read independently based on the reader’s interests. Broad in its coverage with thorough literature reviews in each chapter, the book is a good starting point not only for medical practitioners and policy makers, but also for engineers, data scientists, and scholars interested in developing data-based conclusions in the healthcare domain.