Machine Learning in Healthcare Informatics
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Beschreibung
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.
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.
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 Includes supplementary material: sn.pub/extras
Autor*in
Sumeet Dua
Themen in »Machine Learning in Healthcare Informatics«
Algorithm Design Computational Clinical Decision Support Data Mining Healthcare Informatics Intelligent Systems Machine Learning