Machine Learning for Health Informatics

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  • Machine Learning for Health Informatics Book Detail

  • Author : Andreas Holzinger
  • Release Date : 2016-12-09
  • Publisher : Springer
  • Genre : Computers
  • Pages : 503
  • ISBN 13 : 3319504789
  • File Size : 58,58 MB

Machine Learning for Health Informatics by Andreas Holzinger PDF Summary

Book Description: Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.

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Machine Learning for Health Informatics

Machine Learning for Health Informatics

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Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing fu

Machine Learning in Healthcare Informatics

Machine Learning in Healthcare Informatics

File Size : 20,20 MB
Total View : 6636 Views
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The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine