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Noninvasive Diagnosis of Nonalcoholic Steatohepatitis and Advanced Liver Fibrosis Using Machine Learning Methods: Comparative Study With Existing Quantitative Risk Scores

Noninvasive Diagnosis of Nonalcoholic Steatohepatitis and Advanced Liver Fibrosis Using Machine Learning Methods: Comparative Study With Existing Quantitative Risk Scores

Then, we calculated the specificity and sensitivity based on the Youden’s J statistic (Youden index) [21,22] determined from the ROC curve along with the AUC using the prediction from the 5-fold cross-validation. To reduce the bias of random grouping, for each machine learning method, we repeated the 5-fold cross-validation 20 times using different random seeds and calculated the mean specificity, mean sensitivity, mean AUC, and 95% CI.

Yonghui Wu, Xi Yang, Heather L Morris, Matthew J Gurka, Elizabeth A Shenkman, Kenneth Cusi, Fernando Bril, William T Donahoo

JMIR Med Inform 2022;10(6):e36997

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