Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics

Presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research
Offers a compendium of current and emerging machine learning paradigms for healthcare informatics and reflects on the diversity and complexity through the use of case studies
Provides a panoramic view of data and machine learning techniques and provides an opportunity for novel insights and discovers
Explores the theory and practical applications of machine learning in healthcare
Includes a guided tour of machine learning algorithms, architecture design, and applications and in interdisciplinary challenges