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. 2022 Jun 15;10(6):e36202. doi: 10.2196/36202

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©Carson Lam, Rahul Thapa, Jenish Maharjan, Keyvan Rahmani, Chak Foon Tso, Navan Preet Singh, Satish Casie Chetty, Qingqing Mao. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 15.06.2022.

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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Recurrent neural network representations separate into unique clusters. Clustering the population with acute respiratory distress syndrome (ARDS; n=1278) from the entire data set into 3 different groups A, B, and C by k-means clustering. The dimensions of the embedding vector were reduced using principal component analysis. PC1: principal component 1; PC2: principal component 2.