Lecture Notes in Artificial Intelligence

Machine Learning for Health Informatics

State-of-the-Art and Future Challenges

Editors: Holzinger, Andreas (Ed.)

  • Hot topics in machine learning for health informatics
  • State-of-the-art survey and output of the international HCI-KDD expert network
  • Discusses open problems and future challenges in order to stimulate further research and international progress in this field
see more benefits

Buy this book

eBook 59,49 €
price for Spain (gross)
  • ISBN 978-3-319-50478-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,79 €
price for Spain (gross)
  • ISBN 978-3-319-50477-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

HCI-KDD expert network 

The editor Andreas Holzinger is lead of the Holzinger Group, HCI–KDD, Institute for Medical Informatics, Statistics and Documentation at the Medical University Graz, and Associate Professor of Applied Computer Science at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology. Currently, Andreas is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. His research interests are in supporting human intelligence with machine intelligence to help solve problems in health informatics.
Andreas obtained a PhD in Cognitive Science from Graz University in 1998 and his Habilitation (second PhD) in Computer Science from Graz University of Technology in 2003. Andreas was Visiting Professor in Berlin, Innsbruck, London (twice), and Aachen. He founded the Expert Network HCI–KDD to foster a synergistic combination of methodologies of two areas that offer ideal conditions toward unravelling problems in understanding intelligence: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning. Andreas is Associate Editor of Knowledge and Information Systems(KAIS), Section Editor of BMC Medical Informatics and Decision Making (MIDM), and member of IFIP WG 12.9 Computational Intelligence, more information: http://hci-kdd.org

Table of contents (22 chapters)

  • Machine Learning for Health Informatics

    Holzinger, Andreas

    Pages 1-24

    Preview Buy Chapter 30,19 €
  • Bagging Soft Decision Trees

    Yıldız, Olcay Taner (et al.)

    Pages 25-36

    Preview Buy Chapter 30,19 €
  • Grammars for Discrete Dynamics

    Manca, Vincenzo

    Pages 37-58

    Preview Buy Chapter 30,19 €
  • Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform

    Perovšek, Matic (et al.)

    Pages 59-98

    Preview Buy Chapter 30,19 €
  • Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice

    Bettencourt-Silva, Joao H. (et al.)

    Pages 99-124

    Preview Buy Chapter 30,19 €

Buy this book

eBook 59,49 €
price for Spain (gross)
  • ISBN 978-3-319-50478-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,79 €
price for Spain (gross)
  • ISBN 978-3-319-50477-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Machine Learning for Health Informatics
Book Subtitle
State-of-the-Art and Future Challenges
Editors
  • Andreas Holzinger
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
9605
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-50478-0
DOI
10.1007/978-3-319-50478-0
Softcover ISBN
978-3-319-50477-3
Edition Number
1
Number of Pages
XXII, 481
Number of Illustrations and Tables
98 b/w illustrations
Topics