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Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945164/ https://www.ncbi.nlm.nih.gov/pubmed/36728600 http://dx.doi.org/10.1097/CM9.0000000000002531 |
| _version_ | 1784892077856784384 |
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| author | Cheng, Yisong Yang, Jie Wu, Qin Cao, Lili Wang, Bo Jin, Xiaodong Kang, Yan Zhang, Zhongwei He, Min |
| author_facet | Cheng, Yisong Yang, Jie Wu, Qin Cao, Lili Wang, Bo Jin, Xiaodong Kang, Yan Zhang, Zhongwei He, Min |
| author_sort | Cheng, Yisong |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9945164 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-99451642023-02-23 Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit Cheng, Yisong Yang, Jie Wu, Qin Cao, Lili Wang, Bo Jin, Xiaodong Kang, Yan Zhang, Zhongwei He, Min Chin Med J (Engl) Correspondence Lippincott Williams & Wilkins 2022-12-05 2023-01-03 /pmc/articles/PMC9945164/ /pubmed/36728600 http://dx.doi.org/10.1097/CM9.0000000000002531 Text en Copyright © 2023 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
| spellingShingle | Correspondence Cheng, Yisong Yang, Jie Wu, Qin Cao, Lili Wang, Bo Jin, Xiaodong Kang, Yan Zhang, Zhongwei He, Min Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit |
| title | Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit |
| title_full | Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit |
| title_fullStr | Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit |
| title_full_unstemmed | Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit |
| title_short | Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit |
| title_sort | machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit |
| topic | Correspondence |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945164/ https://www.ncbi.nlm.nih.gov/pubmed/36728600 http://dx.doi.org/10.1097/CM9.0000000000002531 |
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