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Engineering - Computational Intelligence and Complexity | Machine Learning in Healthcare Informatics

Machine Learning in Healthcare Informatics

Dua, Sumeet, Acharya, U. Rajendra, Dua, Prerna (Eds.)

2014, XII, 332 p. 119 illus., 50 illus. in color.

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  • Provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics
  • First reference in the interdisciplinary area of healthcare informatics and machine learning
  • Written by leading experts in the field

The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

Content Level » Research

Keywords » Algorithm Design - Computational Clinical Decision Support - Data Mining - Healthcare Informatics - Intelligent Systems - Machine Learning

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

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