File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis

TitleComparison of time-to-event machine learning models in predicting oral cavity cancer prognosis
Authors
Issue Date2022
Citation
International Journal of Medical Informatics, 2022, v. 157, p. 104635 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/314499

 

DC FieldValueLanguage
dc.contributor.authorADEOYE, JA-
dc.contributor.authorHUI, L-
dc.contributor.authorKoohimoghadam, M-
dc.contributor.authorTan, JY-
dc.contributor.authorChoi, SW-
dc.contributor.authorTHOMSON, P-
dc.date.accessioned2022-07-22T05:25:41Z-
dc.date.available2022-07-22T05:25:41Z-
dc.date.issued2022-
dc.identifier.citationInternational Journal of Medical Informatics, 2022, v. 157, p. 104635-
dc.identifier.urihttp://hdl.handle.net/10722/314499-
dc.languageeng-
dc.relation.ispartofInternational Journal of Medical Informatics-
dc.titleComparison of time-to-event machine learning models in predicting oral cavity cancer prognosis-
dc.typeArticle-
dc.identifier.emailKoohimoghadam, M: koohi@hku.hk-
dc.identifier.emailTan, JY: jiayant@hku.hk-
dc.identifier.emailChoi, SW: htswchoi@hku.hk-
dc.identifier.authorityKoohimoghadam, M=rp02665-
dc.identifier.authorityChoi, SW=rp02552-
dc.identifier.doi10.1016/j.ijmedinf.2021.104635-
dc.identifier.hkuros334439-
dc.identifier.volume157-
dc.identifier.spage104635-
dc.identifier.epage104635-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats