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Article: Confounders in developing a machine learning model for colorectal liver metastasis post-hepatectomy prognostications

TitleConfounders in developing a machine learning model for colorectal liver metastasis post-hepatectomy prognostications
Authors
Au, Kin PanCheung, Tan To
Issue Date10-Jan-2024
PublisherAME Publishing Company
Citation
HepatoBiliary Surgery and Nutrition, 2024, v. 13, n. 2 How to Cite?
DOI: http://dx.doi.org/10.21037/hbsn-23-546
Persistent Identifierhttp://hdl.handle.net/10722/342780
ISSN
2304-3881
2023 Impact Factor: 6.1

 

DC FieldValueLanguage
dc.contributor.authorAu, Kin Pan-
dc.contributor.authorCheung, Tan To-
dc.date.accessioned2024-04-24T02:47:07Z-
dc.date.available2024-04-24T02:47:07Z-
dc.date.issued2024-01-10-
dc.identifier.citationHepatoBiliary Surgery and Nutrition, 2024, v. 13, n. 2-
dc.identifier.issn2304-3881-
dc.identifier.urihttp://hdl.handle.net/10722/342780-
dc.languageeng-
dc.publisherAME Publishing Company-
dc.relation.ispartofHepatoBiliary Surgery and Nutrition-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleConfounders in developing a machine learning model for colorectal liver metastasis post-hepatectomy prognostications-
dc.typeArticle-
dc.identifier.doi10.21037/hbsn-23-546-
dc.identifier.volume13-
dc.identifier.issue2-
dc.identifier.eissn2304-389X-
dc.identifier.issnl2304-3881-

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