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Significant difference indices of pulse diagnosis were t and t . The classification performance of each model based on different datasets was as follows tongue and pulse symptom symptom and tongue and pulse. The neural network model had a better classification performance for symptom and tongue and pulse datasets, with an area under the ROC curves and accuracy rate which were 0.9401 and 0.8806. It was feasible to use tongue data and pulse data as one of the objective diagnostic basis in Qi deficiency syndrome and Yin deficienc
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