Diagnostics of gingivitis based on salivary il-1beta and hgf
A technology of hepatocyte growth factor and gingivitis, applied in the field of oral care, can solve the problems that consumers cannot implement
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[0113] In a clinical study of 54 subjects, 25 of whom were diagnosed with gingivitis and 29 with healthy gingiva, the ROC (Receiver-Operator-Characteristic) curve-under-area ( AUC) value.
[0114] In statistics, a receiver operating characteristic curve or ROC curve is a graphical plot that illustrates the performance of a binary classifier system as the discriminative threshold is varied. Create a curve by plotting the true positive rate (TPR) versus the false positive rate (FPR) at various threshold settings. The true positive rate is also known in machine learning as sensitivity, recall, or probability of detection [1] . The false positive rate is also known as fall-out or false alarm [1] Probability, and can be calculated as (1-specificity). Thus, the ROC curve is a function of sensitivity as fall-out. In general, if the probability distributions for detection and false alarms are known, an ROC curve can be generated by plotting the cumulative distribution funct...
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