Interpretable machine learning-derived nomogram model for early detection of diabetic retinopathy in type 2 diabetes mellitus: a widely targeted metabolomics study

HIGHLIGHTS

• who: Jushuang Li from the METHODS: From , to, participants were enrolled from two affiliated hospitals of Wenzhou Medical University have published the research work: Interpretable machine learning-derived nomogram model for early detection of diabetic retinopathy in type 2 diabetes mellitus: a widely targeted metabolomics study, in the Journal: Nutrition and Diabetes (2022)12:36 of 14/09/2021
• what: Based on the propensity score matching approach (PSM), this study aimed to screen signature biomarkers associated with DR occurrence utilizing metabolomics techniques as well as machine_learning algorithms and to develop an ideal nomogram model for . . .
  

   

  

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