Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114388
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dc.contributorSchool of Nursing-
dc.contributorDepartment of Health Technology and Informatics-
dc.contributorDepartment of Applied Mathematics-
dc.contributorResearch Centre of Textiles for Future Fashion-
dc.contributorSchool of Optometry-
dc.contributorDepartment of Rehabilitation Sciences-
dc.creatorLu, Jen_US
dc.creatorLu, Sen_US
dc.creatorZhao, Yen_US
dc.creatorYang, Len_US
dc.creatorChan, WCen_US
dc.creatorLian, Jen_US
dc.creatorLo, CWen_US
dc.creatorWong, MKen_US
dc.creatorLi, Ten_US
dc.creatorHui, Ren_US
dc.creatorLi, Xen_US
dc.creatorXu, Len_US
dc.creatorLiang, Jen_US
dc.creatorShum, DHKen_US
dc.date.accessioned2025-07-29T08:38:29Z-
dc.date.available2025-07-29T08:38:29Z-
dc.identifier.urihttp://hdl.handle.net/10397/114388-
dc.language.isoenen_US
dc.publisherInnovation Pressen_US
dc.rights© 2025 The Author(s). This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Lu J., Lu S., Zhao Y., et al. (2025). An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes. The Innovation Medicine 3:100106 is available at https://doi.org/10.59717/j.xinn-med.2024.100106.en_US
dc.titleAn electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume3en_US
dc.identifier.issue1en_US
dc.identifier.doi10.59717/j.xinn-med.2024.100106en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationThe innovation medicine, 27 Feb. 2025, v. 3, no. 1, 100106en_US
dcterms.isPartOfThe innovation medicineen_US
dcterms.issued2025-02-27-
dc.identifier.scopus2-s2.0-85219504869-
dc.identifier.eissn2959-8745en_US
dc.identifier.artn100106en_US
dc.description.validate202507 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera3951-
dc.identifier.SubFormID51811-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
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