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Conference Paper: Predicting oral cancer risk using machine learning

TitlePredicting oral cancer risk using machine learning
Authors
Adeoye, JAZheng, LChoi, SWThomson, PSu, Y
Issue Date2022
PublisherInternational Association for Dental Research.
Citation
IADR/APR General Session & Exhibition (Virtual), 20-25 June 2022. In Proceedings of IADR/APR General Session & Exhibition, 20-25 June 2022 How to Cite?
AbstractAims to develop a machine learning-based platform to predict the risk of oral cancer and oral potentially malignant disorders (OPMDs).
DescriptionThe 100th General Session & Exhibition of the IADR was held in conjunction with the 5th Meeting of the Asia Pacific Region; Interactive Talk presentation; “e-Oral Health Network I” session
Persistent Identifierhttp://hdl.handle.net/10722/317116

 

DC FieldValueLanguage
dc.contributor.authorAdeoye, JA-
dc.contributor.authorZheng, L-
dc.contributor.authorChoi, SW-
dc.contributor.authorThomson, P-
dc.contributor.authorSu, Y-
dc.date.accessioned2022-09-26T08:52:18Z-
dc.date.available2022-09-26T08:52:18Z-
dc.date.issued2022-
dc.identifier.citationIADR/APR General Session & Exhibition (Virtual), 20-25 June 2022. In Proceedings of IADR/APR General Session & Exhibition, 20-25 June 2022-
dc.identifier.urihttp://hdl.handle.net/10722/317116-
dc.descriptionThe 100th General Session & Exhibition of the IADR was held in conjunction with the 5th Meeting of the Asia Pacific Region; Interactive Talk presentation; “e-Oral Health Network I” session-
dc.description.abstractAims to develop a machine learning-based platform to predict the risk of oral cancer and oral potentially malignant disorders (OPMDs).-
dc.languageeng-
dc.publisherInternational Association for Dental Research.-
dc.relation.ispartofProceedings of IADR/APR General Session & Exhibition, 20-25 June 2022-
dc.titlePredicting oral cancer risk using machine learning-
dc.typeConference_Paper-
dc.identifier.emailZheng, L: lwzheng@hkucc.hku.hk-
dc.identifier.emailChoi, SW: htswchoi@hku.hk-
dc.identifier.emailSu, Y: richsu@hku.hk-
dc.identifier.authorityZheng, L=rp01411-
dc.identifier.authorityChoi, SW=rp02552-
dc.identifier.authoritySu, Y=rp01916-
dc.identifier.hkuros337022-
dc.publisher.placeUnited States-

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