Aition: A Scalable Kdd Platform For Big Data Healthcare

Biomedical and Health Informatics(2014)

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摘要
We propose a comprehensive information processing, knowledge discovery and simulation platform for Big Data Healthcare. In addition, we present a related, well-defined workflow that promotes model-guided personalized medicine. We start by identifying disease signatures and homogeneous patient groups, whilst modeling case-based patient similarity. Then we analyze correlations between variables and patient groups to deliver accurate and reusable predictive statistical simulation models. Such a framework provides significant advantages on both the clinician's daily routine and targeted biomedical research.
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关键词
Big Data,data mining,health care,medical computing,medical information systems,AITION,Knowledge Discovery and Data Mining,big data healthcare,case based patient similarity,disease signature identification,homogeneous patient groups,information processing platform,knowledge discovery platform,model guided personalized medicine,related well defined workflow,scalable KDD platform,simulation platform,variable correlations
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