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Moreover, three significant urinary metabolites (succinic acid, glutamic acid, and benzeneacetic acid) exhibited the highest specificity and sensitivity of prediction power according to machine learning methods (almost=1).These three significant features also achieved good performance among the seven machine learning algorithms using external validation ( Supplementary Table 1 ), pointing out their potential as urinary biomarkers for ovarian cancer

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