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Andreas . Ed(S): Holzinger - Machine Learning for Health Informatics - 9783319504773 - V9783319504773
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Machine Learning for Health Informatics

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Description for Machine Learning for Health Informatics Paperback. Editor(s): Holzinger, Andreas. Series: Lecture Notes in Computer Science. Num Pages: 481 pages, 98 black & white illustrations, biography. BIC Classification: UBH; UMB; UNF; UYQM; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 26. Weight in Grams: 765.

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 ... Read more

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Product Details

Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
481
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
481
Place of Publication
Cham, Switzerland
ISBN
9783319504773
SKU
V9783319504773
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Andreas . Ed(S): Holzinger
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 ... Read more

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