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

<P>In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on their diversity and complexity. </P><I><P>Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics</I> presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques, providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design and interdisciplinary challenges.</P><P>This book is useful for research scholars and students involved in critical condition analysis and computation models.</P>