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雷达卡
State-of-the-Art and Future Challenges
Editors: Andreas Holzinger
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
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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原版 PDF:
Machine Learning for Health Informatics_State-of-the-Art and Future Challenges.pdf
(27.7 MB, 需要: 18 个论坛币)
PDF 压缩包：
MLfHI (pdf).zip
(20.49 MB, 需要: 18 个论坛币)
本附件包括：- Machine Learning for Health Informatics_State-of-the-Art and Future Challenges.pdf
EPUB:
Machine Learning for Health Informatics_State-of-the-Art and Future Challenges.epub
(4.74 MB, 需要: 18 个论坛币)
EPUB 压缩包：
MLfHI (epub).zip
(4.61 MB, 需要: 18 个论坛币)
本附件包括：- Machine Learning for Health Informatics_State-of-the-Art and Future Challenges.epub
PDF + EPUB 压缩包：
MLfHI (pdf epub).zip
(25.1 MB, 需要: 36 个论坛币)
本附件包括：- Machine Learning for Health Informatics_State-of-the-Art and Future Challenges.pdf
- Machine Learning for Health Informatics_State-of-the-Art and Future Challenges.epub
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