Machine Learning for Health Informatics PDF
By:Andreas Holzinger
Published on 2016-12-09 by Springer
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.
This Book was ranked at 39 by Google Books for keyword athena medical computer system.
Book ID of Machine Learning for Health Informatics's Books is NpSxDQAAQBAJ, Book which was written byAndreas Holzingerhave ETAG "a3nsrDWZP6k"
Book which was published by Springer since 2016-12-09 have ISBNs, ISBN 13 Code is 9783319504780 and ISBN 10 Code is 3319504789
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