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Article: An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes
| Title | An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes |
|---|---|
| Authors | |
| Issue Date | 27-Feb-2025 |
| Publisher | Innovation Press |
| Citation | Innovation Medicine, 2025, v. 3, n. 1 How to Cite? |
| Persistent Identifier | http://hdl.handle.net/10722/365902 |
| ISSN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lu, Jiqiao | - |
| dc.contributor.author | Lu, Shuya | - |
| dc.contributor.author | Zhao, Yubo | - |
| dc.contributor.author | Yang, Lin | - |
| dc.contributor.author | Chan, Wing Chi | - |
| dc.contributor.author | Lian, Jinxiao | - |
| dc.contributor.author | Lo, Cheuk Wai | - |
| dc.contributor.author | Wong, Man Kin | - |
| dc.contributor.author | Li, Ting | - |
| dc.contributor.author | Hui, Ren | - |
| dc.contributor.author | Li, Xiang | - |
| dc.contributor.author | Xu, Lin | - |
| dc.contributor.author | Liang, Jun | - |
| dc.contributor.author | Shum, David H.K. | - |
| dc.date.accessioned | 2025-11-12T00:36:26Z | - |
| dc.date.available | 2025-11-12T00:36:26Z | - |
| dc.date.issued | 2025-02-27 | - |
| dc.identifier.citation | Innovation Medicine, 2025, v. 3, n. 1 | - |
| dc.identifier.issn | 2959-8745 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/365902 | - |
| dc.language | eng | - |
| dc.publisher | Innovation Press | - |
| dc.relation.ispartof | Innovation Medicine | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.title | An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes | - |
| dc.type | Article | - |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.59717/j.xinn-med.2024.100106 | - |
| dc.identifier.scopus | eid_2-s2.0-85219504869 | - |
| dc.identifier.volume | 3 | - |
| dc.identifier.issue | 1 | - |
| dc.identifier.eissn | 2959-8745 | - |
