Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

We developed a 5-year risk prediction model of progression from prediabetes to diabetes for the Chinese population, with the CatBoost model showing the best predictive performance, which could effectively identify individuals at high risk of diabetes.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-05-09
DOI
https://doi.org/10.2196/73190
Citations
2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
5.88
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article

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Na Li, Guang Zhang, Yongsheng Zhang, Hongyu Zhang et al.
2 citations
Journal of Medical Internet Research
Artificial Intelligence in Healthcare
5.88
article

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Na Li, Guang Zhang, Yongsheng Zhang, Hongyu Zhang, Da-Wei Wang, Haoyue Lv
article en
2 citations

Abstract

We developed a 5-year risk prediction model of progression from prediabetes to diabetes for the Chinese population, with the CatBoost model showing the best predictive performance, which could effectively identify individuals at high risk of diabetes.

Journal of Medical Internet ResearchVol. 27
Shandong Provincial QianFoShan Hospital (CN), Shandong First Medical University (CN), Shandong Center for Disease Control and Prevention (CN)
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare
5.88
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