An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes

Jiqiao Lu; Shuya Lu; Yubo Zhao; Lin Yang; Wing Chi Chan; Jinxiao Lian; Cheuk Wai  Lo; Man Kin Wong; Ting Li; Ren  Hui; Xiang  Li; Lin  Xu; Jun  Liang; Ho Keung David Shum

doi:10.59717/j.xinn-med.2024.100106

An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes

Jiqiao Lu
, Shuya Lu
, Yubo Zhao
, Lin Yang (Corresponding Author)
, Wing Chi Chan
, Jinxiao Lian
, Cheuk Wai Lo
, Man Kin Wong
, Ting Li
, Ren Hui
, Xiang Li
, Lin Xu
, Jun Liang
, Ho Keung David Shum

Research output: Journal article publication › Letter › peer-review

Original language	English
Article number	100106
Pages (from-to)	1-3
Number of pages	3
Journal	The Innovation Medicine
Volume	3
Issue number	1
DOIs	https://doi.org/10.59717/j.xinn-med.2024.100106 https://doi.org/10.59717/j.xinn-med.2024.100106
Publication status	Published - 27 Feb 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine
Epidemiology
Oncology
Public Health, Environmental and Occupational Health

More information

http://hdl.handle.net/10397/114388

Cite this

Lu, J., Lu, S., Zhao, Y., Yang, L., Chan, W. C., Lian, J., Lo, C. W., Wong, M. K., Li, T., Hui, R., Li, X., Xu, L., Liang, J., & Shum, H. K. D. (2025). An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes. The Innovation Medicine, 3(1), 1-3. Article 100106. https://doi.org/10.59717/j.xinn-med.2024.100106, https://doi.org/10.59717/j.xinn-med.2024.100106

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title = "An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes",

author = "Jiqiao Lu and Shuya Lu and Yubo Zhao and Lin Yang and Chan, \{Wing Chi\} and Jinxiao Lian and Lo, \{Cheuk Wai\} and Wong, \{Man Kin\} and Ting Li and Ren Hui and Xiang Li and Lin Xu and Jun Liang and Shum, \{Ho Keung David\}",

year = "2025",

month = feb,

day = "27",

doi = "10.59717/j.xinn-med.2024.100106",

language = "English",

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journal = "The Innovation Medicine",

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}

Lu, J, Lu, S, Zhao, Y, Yang, L , Chan, WC , Lian, J, Lo, CW, Wong, MK, Li, T, Hui, R, Li, X, Xu, L, Liang, J & Shum, HKD 2025, 'An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes', The Innovation Medicine, vol. 3, no. 1, 100106, pp. 1-3. https://doi.org/10.59717/j.xinn-med.2024.100106, https://doi.org/10.59717/j.xinn-med.2024.100106

TY - JOUR

T1 - An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes

AU - Lu, Jiqiao

AU - Lu, Shuya

AU - Zhao, Yubo

AU - Yang, Lin

AU - Chan, Wing Chi

AU - Lian, Jinxiao

AU - Lo, Cheuk Wai

AU - Wong, Man Kin

AU - Li, Ting

AU - Hui, Ren

AU - Li, Xiang

AU - Xu, Lin

AU - Liang, Jun

AU - Shum, Ho Keung David

PY - 2025/2/27

Y1 - 2025/2/27

UR - https://www.scopus.com/pages/publications/85219504869

U2 - 10.59717/j.xinn-med.2024.100106

DO - 10.59717/j.xinn-med.2024.100106

M3 - Letter

AN - SCOPUS:85219504869

SN - 2959-8745

VL - 3

SP - 1

EP - 3

JO - The Innovation Medicine

JF - The Innovation Medicine

IS - 1

M1 - 100106

ER -

An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes

UN SDGs

ASJC Scopus subject areas

More information

Other files and links

Cite this