作者: Jinwei Bai , Li Shen , Huimin Sun , Bairong Shen
DOI: 10.1007/978-981-10-6041-0_2
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摘要: Physiological data from wearable sensors and smartphone are accumulating rapidly, this provides us the chance to collect dynamic personalized information as phenotype be integrated genotype for holistic understanding of complex diseases. This integration can applied early prediction prevention disease, therefore promoting shifting disease care tradition healthcare paradigm. In chapter, we summarize physiological signals which detected by sensors, sharing big data, mining methods discovery disease-associated patterns diagnosis treatment. We discuss challenges informatics about storage, standardization, analyses, applications smartphone. At last, present our perspectives on models disentangling relationship between data.