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Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310842/ https://www.ncbi.nlm.nih.gov/pubmed/34240264 http://dx.doi.org/10.1007/s00787-021-01836-0 |
| _version_ | 1783728842351837184 |
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| author | Roessner, Veit Rothe, Josefine Kohls, Gregor Schomerus, Georg Ehrlich, Stefan Beste, Christian |
| author_facet | Roessner, Veit Rothe, Josefine Kohls, Gregor Schomerus, Georg Ehrlich, Stefan Beste, Christian |
| author_sort | Roessner, Veit |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8310842 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Springer Berlin Heidelberg |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-83108422021-08-12 Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research Roessner, Veit Rothe, Josefine Kohls, Gregor Schomerus, Georg Ehrlich, Stefan Beste, Christian Eur Child Adolesc Psychiatry Editorial Springer Berlin Heidelberg 2021-07-08 2021 /pmc/articles/PMC8310842/ /pubmed/34240264 http://dx.doi.org/10.1007/s00787-021-01836-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Editorial Roessner, Veit Rothe, Josefine Kohls, Gregor Schomerus, Georg Ehrlich, Stefan Beste, Christian Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research |
| title | Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research |
| title_full | Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research |
| title_fullStr | Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research |
| title_full_unstemmed | Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research |
| title_short | Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research |
| title_sort | taming the chaos?! using explainable artificial intelligence (xai) to tackle the complexity in mental health research |
| topic | Editorial |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310842/ https://www.ncbi.nlm.nih.gov/pubmed/34240264 http://dx.doi.org/10.1007/s00787-021-01836-0 |
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