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Big Data, Big Challenges: A Healthcare Perspective Background, Issues, Solutions and Research Directions [electronic resource]
Househ, Mowafa
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| 자료유형 | 단행본 |
|---|---|
| 개인저자 | Househ, Mowafa.,editor. Kushniruk, Andre W.,editor. Borycki, Elizabeth M.,editor. |
| 단체저자명 | SpringerLink (Online service). |
| 서명/저자사항 | Big Data, Big Challenges: A Healthcare Perspective [electronic resource] : Background, Issues, Solutions and Research Directions / edited by Mowafa Househ, Andre W. Kushniruk, Elizabeth M. Borycki. |
| 판사항 | 1st ed. 2019. |
| 형태사항 | VIII, 144 p:online resource. |
| 총서사항 | Lecture Notes in Bioengineering=2195-2728 |
| 총서부출표목 | Lecture Notes in Bioengineering, |
| 기본자료 저록 | Springer Nature eBook |
| 기타형태 저록 | Printed edition:9783030061081Printed edition:9783030061104 |
| ISBN | 9783030061098 |
| 기타표준부호 | 10.1007/978-3-030-06109-8 |
| 요약 | 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. |
| 일반주제명 | Medical informatics. Biomedical engineering. Social service. Public health administration. Bioethics. Quantitative research. Health Informatics. Biomedical Engineering and Bioengineering. Social Care. Health Administration. Bioethics. Data Analysis and Big Data. |
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