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Data Platform for the Research and Prevention of Alzheimer’s Disease

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Healthcare and Big Data Management

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1028))

Abstract

With the rapid increase in global aging, Alzheimer’s disease has become a major burden in both social and economic costs. Substantial resources have been devoted to researching this disease, and rich multimodal data resources have been generated. In this chapter, we discuss an ongoing effort to build a data platform to harness these data to help research and prevention of Alzheimer’s disease. We will detail this data platform in terms of its architecture, its data integration strategy, and its data services. Then, we will consider how to leverage this data platform to accelerate risk factor identification 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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Acknowledgments

This study was supported partially by Anhui Provincial Key Technologies R&D Program under Grant No. 1704e1002221, the National Natural Science Foundation of China (NSFC) under Grant No. 71661167004 and the Programme of Introducing Talents of Discipline to Universities (“111 Program”) under Grant No. B14025.

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Authors and Affiliations

  1. School of Computer and Information, Hefei University of Technology, 193 Tunxi Road, Hefei, Anhui, 230009, China

    Ning An, Liuqi Jin, Jiaoyun Yang, Yue Yin, Siyuan Jiang & Bo Jing

  2. School of Medicine, Boston University, 72 E. Concord Street, Boston, MA, 02118, USA

    Rhoda Au

Authors
  1. Ning An
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  2. Liuqi Jin
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  3. Jiaoyun Yang
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  4. Yue Yin
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  5. Siyuan Jiang
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  6. Bo Jing
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  7. Rhoda Au
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Corresponding author

Correspondence to Jiaoyun Yang .

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Editors and Affiliations

  1. Center for Systems Biology, Soochow University, Suzhou, Jiangsu, China

    Bairong Shen

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© 2017 Springer Nature Singapore Pte Ltd.

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An, N. et al. (2017). Data Platform for the Research and Prevention of Alzheimer’s Disease. In: Shen, B. (eds) Healthcare and Big Data Management. Advances in Experimental Medicine and Biology, vol 1028. Springer, Singapore. https://doi.org/10.1007/978-981-10-6041-0_4

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