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Correction: Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm

Detalles Bibliográficos
Autores principales: Ueda, Michiko, Watanabe, Kohei, Sueki, Hajime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131652/
https://www.ncbi.nlm.nih.gov/pubmed/36972537
http://dx.doi.org/10.2196/47549
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author Ueda, Michiko
Watanabe, Kohei
Sueki, Hajime
author_facet Ueda, Michiko
Watanabe, Kohei
Sueki, Hajime
author_sort Ueda, Michiko
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spelling pubmed-101316522023-04-27 Correction: Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm Ueda, Michiko Watanabe, Kohei Sueki, Hajime J Med Internet Res Corrigenda and Addenda JMIR Publications 2023-03-27 /pmc/articles/PMC10131652/ /pubmed/36972537 http://dx.doi.org/10.2196/47549 Text en ©Michiko Ueda, Kohei Watanabe, Hajime Sueki. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 27.03.2023. https://creativecommons.org/licenses/by/4.0/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 https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Corrigenda and Addenda
Ueda, Michiko
Watanabe, Kohei
Sueki, Hajime
Correction: Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm
title Correction: Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm
title_full Correction: Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm
title_fullStr Correction: Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm
title_full_unstemmed Correction: Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm
title_short Correction: Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm
title_sort correction: emotional distress during covid-19 by mental health conditions and economic vulnerability: retrospective analysis of survey-linked twitter data with a semisupervised machine learning algorithm
topic Corrigenda and Addenda
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131652/
https://www.ncbi.nlm.nih.gov/pubmed/36972537
http://dx.doi.org/10.2196/47549
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