Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1186/s12911-024-02648-3.pdf
Reference57 articles.
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2. Wang X, Zhai M, Ren Z, Ren H, Li M, Quan D, et al. Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier. BMC Med Inf Decis Mak. 2021;21(1):1–14.
3. Ooka T, Johno H, Nakamoto K, Yoda Y, Yokomichi H, Yamagata Z. Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan. BMJ Nutrition, Prevention & Health. 2021:bmjnph-2020-000200.
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5. Mirzaei M, Rahmaninan M, Mirzaei M, Nadjarzadeh A. Epidemiology of diabetes mellitus, pre-diabetes, undiagnosed and uncontrolled diabetes in Central Iran: results from Yazd health study. BMC Public Health. 2020;20(1):1–9.
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