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 researchOffers a compendium of current and emerging machine learning paradigms for healthcare informatics and reflects on the diversity and complexity through the use of case studiesProvides a panoramic view of data and machine learning techniques and provides an opportunity for novel insights and discoversExplores the theory and practical applications of machine learning in healthcareIncludes a guided tour of machine learning algorithms, architecture design, and applications and in interdisciplinary challenges