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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Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone forinformation as phenotype to be integrated to genotype for the holistic understanding of complex diseases. This integration can be applied to early prediction and prevention of disease, therefore promoting the shifting of disease care tradition to the healthcare paradigm. In this chapter, we summariz

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

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Privacy Challenges of Genomic Big Data,tion of human individuals can be obtained efficiently with low cost. However, such massive amount of personal genomic data creates tremendous challenge for privacy, especially given the emergence of direct-to-consumer (DTC) industry that provides genetic testing services. Here we review the recent d

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Systems Health: A Transition from Disease Management Toward Health Promotion,disease treatment, e.g., risk prediction and target therapy, still have limitations for precision medicine due to the dynamic and complex nature of health. Interactions among genetics, lifestyle, and surrounding environments have nonnegligible effects on disease evolution. Thus a transition in healt

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