Big data, big challenges : a healthcare perspective : background, issues, solutions and research directions
- 其他作者：
- 其他題名：
- Lecture notes in bioengineering.
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Lecture notes in bioengineering,
- 主題： Medical informatics. , Medical care--Data processing. , Big data. , Health Informatics. , Biomedical Engineering and Bioengineering. , Social Care. , Health Administration. , Bioethics. , Big Data/Analytics.
- ISBN： 9783030061098 (electronic bk.) 、 9783030061081 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 摘要註: This is the first book offering a comprehensive, yet concise, view on both the challenges and opportunities related to the use of big data in health care. The different chapters report on different perspectives: from health management to patient safety; from the human factor perspective to the ethical and economic ones, and more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the work presented not only sheds light on the problems of big data, but also paves the way for possible solutions and future research directions. The book offers a useful reference guide to health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, helping them in their decision making processes, as well as to students and academicians learning or dealing with data science related research issues in healthcare.
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讀者標籤：
- 系統號： 005449870 | 機讀編目格式
館藏資訊
This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare.