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. 2020 Aug 24;22(8):e22033. doi: 10.2196/22033

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©Michael P McRae, Isaac P Dapkins, Iman Sharif, Judd Anderman, David Fenyo, Odai Sinokrot, Stella K Kang, Nicolaos J Christodoulides, Deniz Vurmaz, Glennon W Simmons, Timothy M. Alcorn, Marco J Daoura, Stu Gisburne, David Zar, John T McDevitt. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.08.2020.

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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Validation of the Tier 1 Outpatient Model. A. Lasso logistic regression coefficients revealing the relative importance of predictors in generating the score. B. Box/scatter plot from the internal validation showing the Tier 1 Outpatient Scores for the four outcomes. A cutoff score of 18 (red dotted line) balances sensitivity and specificity for “Noncase” vs “Case” patients (gray line). COVID-19: coronavirus disease; CV comorbidities: cardiovascular comorbid conditions; No Hosp.: patients who were not hospitalized; Vent.: patients who were ventilated.