File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
  • Find via Find It@HKUL
Supplementary

Article: Prediction of Ameloblastoma Recurrence using Random Forest - A Machine Learning Algorithm

TitlePrediction of Ameloblastoma Recurrence using Random Forest - A Machine Learning Algorithm
Authors
Wang, RLi, YKSu, Y
Issue Date2022
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/ijom
Citation
International Journal of Oral and Maxillofacial Surgery, 2022, Forthcoming, v. 51 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/302029
ISSN
0901-5027
2023 Impact Factor: 2.2
2023 SCImago Journal Rankings: 0.875

 

DC FieldValueLanguage
dc.contributor.authorWang, R-
dc.contributor.authorLi, YK-
dc.contributor.authorSu, Y-
dc.date.accessioned2021-08-21T03:30:32Z-
dc.date.available2021-08-21T03:30:32Z-
dc.date.issued2022-
dc.identifier.citationInternational Journal of Oral and Maxillofacial Surgery, 2022, Forthcoming, v. 51-
dc.identifier.issn0901-5027-
dc.identifier.urihttp://hdl.handle.net/10722/302029-
dc.languageeng-
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/ijom-
dc.relation.ispartofInternational Journal of Oral and Maxillofacial Surgery-
dc.titlePrediction of Ameloblastoma Recurrence using Random Forest - A Machine Learning Algorithm-
dc.typeArticle-
dc.identifier.emailSu, Y: richsu@hku.hk-
dc.identifier.authoritySu, Y=rp01916-
dc.identifier.hkuros324267-
dc.identifier.volumeForthcoming, v. 51-
dc.publisher.placeUnited Kingdom-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats