Machine Learning with Health Care Perspective : Machine Learning and Healthcare /
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics,...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | Learning and Analytics in Intelligent Systems,
13 |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges. |
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| Physical Description: | 1 online resource (X, 415 pages 187 illustrations, 117 illustrations in color.) |
| ISBN: | 9783030408503 |
| ISSN: | 2662-3455 ; |
| DOI: | 10.1007/978-3-030-40850-3 |