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Healthcare and big data management
~
Shen, Bairong.
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Healthcare and big data management
Record Type:
Electronic resources : Monograph/item
Title/Author:
Healthcare and big data management/ edited by Bairong Shen.
other author:
Shen, Bairong.
Published:
Singapore :Springer Singapore : : 2017.,
Description:
v, 164 p. :ill., digital ;24 cm.
[NT 15003449]:
Chapter 1 How to become a smart patient in the era of precision medicine? -- Chapter 2 Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for Healthcare -- Chapter 3 Entropy for the Complexity of Physiological Signal Dynamics -- Chapter 4 Data Platform for the Research and Prevention of Alzheimer's disease -- Chapter 5 Data analysis for gut microbiota and health -- Chapter 6 Ontology-based Vaccine Adverse Event Representation and Analysis -- Chapter 7 LEMRG - decision rule generation algorithm for mining microRNA expression data -- Chapter 8 Privacy Challenges of Genomic Big Data -- Chapter 9 Systems health, a transition from disease management towards health promotion.
Contained By:
Springer eBooks
Subject:
Big data - Management. -
Online resource:
http://dx.doi.org/10.1007/978-981-10-6041-0
ISBN:
9789811060410
Healthcare and big data management
Healthcare and big data management
[electronic resource] /edited by Bairong Shen. - Singapore :Springer Singapore :2017. - v, 164 p. :ill., digital ;24 cm. - Advances in experimental medicine and biology,v.10280065-2598 ;. - Advances in experimental medicine and biology ;v.1028..
Chapter 1 How to become a smart patient in the era of precision medicine? -- Chapter 2 Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for Healthcare -- Chapter 3 Entropy for the Complexity of Physiological Signal Dynamics -- Chapter 4 Data Platform for the Research and Prevention of Alzheimer's disease -- Chapter 5 Data analysis for gut microbiota and health -- Chapter 6 Ontology-based Vaccine Adverse Event Representation and Analysis -- Chapter 7 LEMRG - decision rule generation algorithm for mining microRNA expression data -- Chapter 8 Privacy Challenges of Genomic Big Data -- Chapter 9 Systems health, a transition from disease management towards health promotion.
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.
ISBN: 9789811060410
Standard No.: 10.1007/978-981-10-6041-0doiSubjects--Topical Terms:
2199628
Big data
--Management.
LC Class. No.: R858 / .H43 2017
Dewey Class. No.: 610.285
Healthcare and big data management
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Chapter 1 How to become a smart patient in the era of precision medicine? -- Chapter 2 Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for Healthcare -- Chapter 3 Entropy for the Complexity of Physiological Signal Dynamics -- Chapter 4 Data Platform for the Research and Prevention of Alzheimer's disease -- Chapter 5 Data analysis for gut microbiota and health -- Chapter 6 Ontology-based Vaccine Adverse Event Representation and Analysis -- Chapter 7 LEMRG - decision rule generation algorithm for mining microRNA expression data -- Chapter 8 Privacy Challenges of Genomic Big Data -- Chapter 9 Systems health, a transition from disease management towards health promotion.
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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.
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Biomedical and Life Sciences (Springer-11642)
based on 0 review(s)
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W9323792
電子資源
11.線上閱覽_V
電子書
EB R858 .H43 2017
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