Overview
- Introduces informatics methods that will be applied in the future health economy and research
- Includes data analysis and application of imaging data
- Standardization and privacy of personal data are also covered
Part of the book series: Advances in Experimental Medicine and Biology (AEMB, volume 1028)
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Table of contents (9 chapters)
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Front Matter
Keywords
About this book
The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both scientific research and economic development. This volume covers a range of aspects, including: big data management for healthcare; physiological and gut microbiota – data collection and analysis; big data standardization and ontology; and personal data privacy and systems level modeling in the healthcare context. The book offers a valuable resource for biomedical informaticians, clinicians, health practitioners and researchers alike.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Healthcare and Big Data Management
Editors: Bairong Shen
Series Title: Advances in Experimental Medicine and Biology
DOI: https://doi.org/10.1007/978-981-10-6041-0
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-6040-3Published: 03 November 2017
Softcover ISBN: 978-981-13-5556-1Published: 11 December 2018
eBook ISBN: 978-981-10-6041-0Published: 20 October 2017
Series ISSN: 0065-2598
Series E-ISSN: 2214-8019
Edition Number: 1
Number of Pages: V, 164
Number of Illustrations: 7 b/w illustrations, 23 illustrations in colour
Topics: Bioinformatics, Molecular Medicine, Computational Biology/Bioinformatics