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. 2021 Aug 5;12:641779. doi: 10.3389/fpsyg.2021.641779

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Copyright © 2021 de Menezes Galvão, Almeida, de Sousa, Leocadio-Miguel, Palhano-Fontes, de Araujo, Lobão-Soares, Maia-de-Oliveira, Nunes, Hallak, Schuch, Sarris and Galvão-Coelho.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Importance of sociodemographic characteristics for discrimination of patients from controls. The random forest–based algorithm (Boruta test) of sociodemographic characteristics relevant to discrimination of: (A) patients with first episode of major depression (MD, n = 30) and the control group (CG1, n = 32). (B) Patients with treatment-resistant major depression (TRD, n = 28) and the respective control group (CG2, n = 30). The colors used in the images denote: green, relevant characteristic; yellow, tentative of relevance; red, no relevant characteristic; and blue, randomly shuffled data at a maximum, mean, and minimum levels.