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Development and internal validation of an interpretable machine learning-based risk stratification model for sarcopenic obesity in patients with type 2 diabetes mellitus

Source: Frontiers - Health • Published: 02 Nov 2026, 00:00

Summarized by Masters of Longevity from Frontiers - Health.

Researchers developed and internally validated ML models predicting SO risk in 378 T2DM patients.

Development and internal validation of an interpretable machine learning-based risk stratification model for sarcopenic obesity in patients with type 2 diabetes mellitus
Key Takeaways
  • LightGBM showed the highest numerical performance in internal testing.
  • Age, ADL, waist circumference, HDL, and vitamin D were top predictors.
  • Bootstrap validation found optimism bias and under-calibration in LightGBM.
Read the full article at Frontiers - Health ↗

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