Machine Learning with Health Care Perspective

Machine Learning and Healthcare de

,

Éditeur :

Springer


Collection :

Learning and Analytics in Intelligent Systems

Paru le : 2020-03-09

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Description


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.

Pages
415 pages
Collection
Learning and Analytics in Intelligent Systems
Parution
2020-03-09
Marque
Springer
EAN papier
9783030408497
EAN PDF
9783030408503

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
14377 Ko
Prix
158,24 €
EAN EPUB
9783030408503

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
54620 Ko
Prix
158,24 €