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October 9, 2025Open Access

Explainable artificial intelligence model predicting the risk of all-cause mortality in patients with type 2 diabetes mellitus

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Cohort analysis shows a machine learning model predicting all-cause mortality in diabetes patients, suggesting tailored treatment strategies.

The extra survival trees model achieved a C-statistic of 0.776, indicating strong predictive capability.
Using machine learning, the model accurately predicted all-cause mortality at multiple time points over a follow-up of 16.8 years.
Key survival-associated features were identified to improve the model's interpretability, enhancing clinical application.
The SHAP method enabled understanding of individual predictions, helping to identify high-risk patients for timely interventions.

Vershinina et al. (2025) studied this question.

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Cohort analysis shows a machine learning model predicting all-cause mortality in diabetes patients, suggesting tailored treatment strategies.