Article ; Online: Invited commentary: Machine learning versus logistic regression for the prediction of complications after pancreatoduodenectomy.
2023 Volume 174, Issue 3, Page(s) 441
MeSH term(s) | Humans ; Logistic Models ; Pancreaticoduodenectomy/adverse effects ; Machine Learning ; Risk Assessment |
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Language | English |
Publishing date | 2023-07-21 |
Publishing country | United States |
Document type | Editorial ; Comment |
ZDB-ID | 202467-6 |
ISSN | 1532-7361 ; 0039-6060 |
ISSN (online) | 1532-7361 |
ISSN | 0039-6060 |
DOI | 10.1016/j.surg.2023.06.011 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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