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. 2020 Oct 27;8(10):e20324. doi: 10.2196/20324

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©Toru Shirakawa, Tomohiro Sonoo, Kentaro Ogura, Ryo Fujimori, Konan Hara, Tadahiro Goto, Hideki Hashimoto, Yuji Takahashi, Hiromu Naraba, Kensuke Nakamura. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 27.10.2020.

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 http://medinform.jmir.org/, as well as this copyright and license information must be included.

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ROC curves of hospital admission prediction models. ROC curves for the three machine learning models are similar to those of logistic regression in models 1, 2, and 3, but superior to those of logistic regression in model 4. ROC: receiver operating characteristic.