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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, JAAkinshipo, AThomson, PSu, Y
Issue Date2022
Citation
Journal of Global Health, 2022, v. 12 How to Cite?
DOI: http://dx.doi.org/10.7189/jogh.12.03017
Persistent Identifierhttp://hdl.handle.net/10722/316856
ISI Accession Number ID
WOS:000791762100001

 

DC FieldValueLanguage
dc.contributor.authorADEOYE, JA-
dc.contributor.authorAkinshipo, A-
dc.contributor.authorThomson, P-
dc.contributor.authorSu, Y-
dc.date.accessioned2022-09-16T07:24:33Z-
dc.date.available2022-09-16T07:24:33Z-
dc.date.issued2022-
dc.identifier.citationJournal of Global Health, 2022, v. 12-
dc.identifier.urihttp://hdl.handle.net/10722/316856-
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.identifier.emailSu, Y: richsu@hku.hk-
dc.identifier.authoritySu, Y=rp01916-
dc.identifier.doi10.7189/jogh.12.03017-
dc.identifier.hkuros336592-
dc.identifier.volume12-
dc.identifier.isiWOS:000791762100001-

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