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Big Data in Health Care: Applications and Challenges

classification rules derived from the C4.5 algorithm and pattern classifier based on the Mahalanobis distance. It then favors the role of multiphysiological recordings for the enhancement of emotion discrimination and the use of metadata structure designs via the extensible markup language (XML) for linking the various system components. Fan et al. (2011) developed a hybrid model named case-based reasoning and fuzzy decision tree (CBFDT) for medical data classification in two medical domains: breast cancer diagnosis and liver disorder diagnosis. In this paper, they

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