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Correction: Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
JMIR Publications
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398749/ https://www.ncbi.nlm.nih.gov/pubmed/34398802 http://dx.doi.org/10.2196/32415 |
| _version_ | 1783744913099194368 |
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| author | Zhong, Tao Zhuang, Zian Dong, Xiaoli Wong, Ka Hing Wong, Wing Tak Wang, Jian He, Daihai Liu, Shengyuan |
| author_facet | Zhong, Tao Zhuang, Zian Dong, Xiaoli Wong, Ka Hing Wong, Wing Tak Wang, Jian He, Daihai Liu, Shengyuan |
| author_sort | Zhong, Tao |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8398749 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | JMIR Publications |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-83987492021-09-03 Correction: Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study Zhong, Tao Zhuang, Zian Dong, Xiaoli Wong, Ka Hing Wong, Wing Tak Wang, Jian He, Daihai Liu, Shengyuan JMIR Med Inform Corrigenda and Addenda JMIR Publications 2021-08-13 /pmc/articles/PMC8398749/ /pubmed/34398802 http://dx.doi.org/10.2196/32415 Text en ©Tao Zhong, Zian Zhuang, Xiaoli Dong, Ka Hing Wong, Wing Tak Wong, Jian Wang, Daihai He, Shengyuan Liu. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 13.08.2021. 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 JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included. |
| spellingShingle | Corrigenda and Addenda Zhong, Tao Zhuang, Zian Dong, Xiaoli Wong, Ka Hing Wong, Wing Tak Wang, Jian He, Daihai Liu, Shengyuan Correction: Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study |
| title | Correction: Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study |
| title_full | Correction: Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study |
| title_fullStr | Correction: Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study |
| title_full_unstemmed | Correction: Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study |
| title_short | Correction: Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study |
| title_sort | correction: predicting antituberculosis drug–induced liver injury using an interpretable machine learning method: model development and validation study |
| topic | Corrigenda and Addenda |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398749/ https://www.ncbi.nlm.nih.gov/pubmed/34398802 http://dx.doi.org/10.2196/32415 |
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