News summary

Explainable machine learning for predicting kidney disease progression defined by changes in estimated glomerular filtration rate in type 2 diabetes: a single-centre retrospective study

Source: Frontiers - Health • Published: 09 Nov 2026, 00:00

Summarized by Masters of Longevity from Frontiers - Health.

A single-centre retrospective study used explainable ML on routine labs to predict eGFR decline.

Explainable machine learning for predicting kidney disease progression defined by changes in estimated glomerular filtration rate in type 2 diabetes: a single-centre retrospective study
Key Takeaways
  • ML models were able to predict subsequent eGFR-defined progression.
  • SHAP and LIME were used and showed influential routine lab features.
  • Study was observational and single-centre, so causality remains unproven.
Read the full article at Frontiers - Health ↗

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