| Big Data in Healthcare: Extracting Knowledge from Point-Of-Care Machines 2017 Edition Contributor(s): Amirian, Pouria (Editor), Lang, Trudie (Editor), Van Loggerenberg, Francois (Editor) |
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ISBN: 3319629883 ISBN-13: 9783319629889 Publisher: Springer OUR PRICE: $56.99 Product Type: Paperback Published: September 2017 |
| Additional Information |
| BISAC Categories: - Medical | Pharmacy - Science | Microscopes & Microscopy - Science | Chemistry - Organic |
| Dewey: 502.85 |
| Series: Springerbriefs in Pharmaceutical Science & Drug Development |
| Physical Information: 0.23" H x 6.14" W x 9.21" (0.36 lbs) 100 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy. |