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. 2022 Mar 14;10(3):e33182. doi: 10.2196/33182

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©Sheng-Chieh Lu, Cai Xu, Chandler H Nguyen, Yimin Geng, André Pfob, Chris Sidey-Gibbons. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 14.03.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.

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Pooled AUROC by machine learning (ML) algorithm. ANN: artificial neural network; AUROC: area under the receiver operating characteristic curve; BPM: Bayes point machine; DT: decision tree; GBT: gradient-boosted tree; LR: logistic regression; RF: random forest; SGB: stochastic gradient boosting; SVM: support vector machine.