Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based
methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation
methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will
find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches
and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic
Health Records, and medical image processing.