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Article: Artificial intelligence-based prediction for cancer-related outcomes in Africa: Status and potential refinements

TitleArtificial intelligence-based prediction for cancer-related outcomes in Africa: Status and potential refinements
Authors
Adeoye, JohnAkinshipo, AbdulwarithThomson, PeterSu, Yu Xiong
Issue Date2022
Citation
Journal of Global Health, 2022, v. 12, article no. 03017 How to Cite?
DOI: http://dx.doi.org/10.7189/jogh.12.03017
Persistent Identifierhttp://hdl.handle.net/10722/355387
ISSN
2047-2978
2023 Impact Factor: 4.5
2023 SCImago Journal Rankings: 1.093

 

DC FieldValueLanguage
dc.contributor.authorAdeoye, John-
dc.contributor.authorAkinshipo, Abdulwarith-
dc.contributor.authorThomson, Peter-
dc.contributor.authorSu, Yu Xiong-
dc.date.accessioned2025-04-08T03:40:25Z-
dc.date.available2025-04-08T03:40:25Z-
dc.date.issued2022-
dc.identifier.citationJournal of Global Health, 2022, v. 12, article no. 03017-
dc.identifier.issn2047-2978-
dc.identifier.urihttp://hdl.handle.net/10722/355387-
dc.languageeng-
dc.relation.ispartofJournal of Global Health-
dc.titleArtificial intelligence-based prediction for cancer-related outcomes in Africa: Status and potential refinements-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.7189/jogh.12.03017-
dc.identifier.pmid35493779-
dc.identifier.scopuseid_2-s2.0-85129780947-
dc.identifier.volume12-
dc.identifier.spagearticle no. 03017-
dc.identifier.epagearticle no. 03017-
dc.identifier.eissn2047-2986-

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