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Titlebook: Healthcare and Big Data Management; Bairong Shen Book 2017 The Editor(s) (if applicable) and The Author(s), under exclusive license to Spr

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发表于 2025-3-21 17:50:16 | 显示全部楼层 |阅读模式
书目名称Healthcare and Big Data Management
编辑Bairong Shen
视频video
概述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 al
丛书名称Advances in Experimental Medicine and Biology
图书封面Titlebook: Healthcare and Big Data Management;  Bairong Shen Book 2017 The Editor(s) (if applicable) and The Author(s), under exclusive license to Spr
描述.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..
出版日期Book 2017
关键词smart healthcare; participatory medicine; Big Data Management; Genomic Big Data; Systems health
版次1
doihttps://doi.org/10.1007/978-981-10-6041-0
isbn_softcover978-981-13-5556-1
isbn_ebook978-981-10-6041-0Series ISSN 0065-2598 Series E-ISSN 2214-8019
issn_series 0065-2598
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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发表于 2025-3-21 22:56:07 | 显示全部楼层
Ning An,Liuqi Jin,Jiaoyun Yang,Yue Yin,Siyuan Jiang,Bo Jing,Rhoda Au sein soll? Forschungsmäßig orientiert sich dieses Buch am schulenübergreifenden Geist und internationalen Standard, wie er dankenswerterweise seit einem halben Jahrhundert in . (Lambert 2013) niedergelegt wird. 
发表于 2025-3-22 00:52:16 | 显示全部楼层
Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for, the standardization, the analyses, and the applications of the physiological data from the wearable sensors and smartphone. At last, we present our perspectives on the models for disentangling the complex relationship between early disease prediction and the mining of physiological phenotype data.
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,Data Platform for the Research and Prevention of Alzheimer’s Disease,entification and pathogenesis study with its data analytics capability. This chapter will provide a concrete pathway for developing a data platform for studying and preventing insidious onset chronic diseases in this data era.
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Privacy Challenges of Genomic Big Data,e for privacy, especially given the emergence of direct-to-consumer (DTC) industry that provides genetic testing services. Here we review the recent development in genomic big data and its implications on privacy. We also discuss the current dilemmas and future challenges of genomic privacy.
发表于 2025-3-23 06:12:29 | 显示全部楼层
Book 2017data 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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