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
General
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