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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
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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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 |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10131652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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