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. 2020 Aug 31;22(8):e17830. doi: 10.2196/17830

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©Martin Müller, Manuel Schneider, Marcel Salathé, Effy Vayena. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.08.2020.

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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

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Overview of the data processing pipeline. Labels f_0-7 denote filtering steps, D_0-2 datasets, S_0-1 samples, A_0-2 annotation sets, and P_0-2 predictions. M_R, M_S, and M_O represent machine learning models. API: application programming interface.