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Mining balance disorders' data for the development of diagnostic decision support systems

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Figure

Fig 1: The building blocks of the methodology for developing the diagnostic models. The two data mining
Fig 2: The interaction between the recommendation tool, which utilizes the features encountered in the paths of the
TABLE I: DIAGNOSES CONSIDERED IN THE EMBALANCE DSS AND THE CORRESPONDING NUMBER OF CASES# of
Table II: Results for the 12 different diagnoses in terms of sensitivity, specificity, positive predictive value, negative predictive value accuracy and features used for the GPs and the experts are presented
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