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Interpretable machine learning framework to predict gout associated with dietary fiber and triglyceride-glucose index.

Shun-Shun CaoYang-Yang Hu
Published in: Nutrition & metabolism (2024)
The interpretable LGBM model associated with dietary fiber and TyG index showed high accuracy, efficiency, and robustness in predicting gout. Increasing dietary fiber intake and lowering the TyG index are beneficial in reducing the potential risk of gout.
Keyphrases
  • uric acid
  • machine learning
  • deep learning
  • risk assessment
  • skeletal muscle
  • physical activity
  • weight loss