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Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406441/ https://www.ncbi.nlm.nih.gov/pubmed/37555003 http://dx.doi.org/10.3389/fpsyt.2023.1257713 |
| _version_ | 1785085744526655488 |
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| author | Al-Ezzi, Abdulhakim Kamel, Nidal Al-Shargabi, Amal A. Al-Shargie, Fares Al-Shargabi, Alaa Yahya, Norashikin Al-Hiyali, Mohammed Isam |
| author_facet | Al-Ezzi, Abdulhakim Kamel, Nidal Al-Shargabi, Amal A. Al-Shargie, Fares Al-Shargabi, Alaa Yahya, Norashikin Al-Hiyali, Mohammed Isam |
| author_sort | Al-Ezzi, Abdulhakim |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10406441 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-104064412023-08-08 Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures Al-Ezzi, Abdulhakim Kamel, Nidal Al-Shargabi, Amal A. Al-Shargie, Fares Al-Shargabi, Alaa Yahya, Norashikin Al-Hiyali, Mohammed Isam Front Psychiatry Psychiatry Frontiers Media S.A. 2023-07-24 /pmc/articles/PMC10406441/ /pubmed/37555003 http://dx.doi.org/10.3389/fpsyt.2023.1257713 Text en Copyright © 2023 Al-Ezzi, Kamel, Al-Shargabi, Al-Shargie, Al-Shargabi, Yahya and Al-Hiyali. https://creativecommons.org/licenses/by/4.0/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. |
| spellingShingle | Psychiatry Al-Ezzi, Abdulhakim Kamel, Nidal Al-Shargabi, Amal A. Al-Shargie, Fares Al-Shargabi, Alaa Yahya, Norashikin Al-Hiyali, Mohammed Isam Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures |
| title | Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures |
| title_full | Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures |
| title_fullStr | Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures |
| title_full_unstemmed | Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures |
| title_short | Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures |
| title_sort | corrigendum: machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures |
| topic | Psychiatry |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406441/ https://www.ncbi.nlm.nih.gov/pubmed/37555003 http://dx.doi.org/10.3389/fpsyt.2023.1257713 |
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