Development of a predictive model for the risk of microalbuminuria: comparison of 2 machine learning algorithms

HIGHLIGHTS

  • What: Recognizing the significance of MAU in predicting cardiovascular disease risk, this study aimed to achieve two primary objectives: to compare two machine_learning algorithms for the creation of a risk prediction model for MAU in patients with T2DM, and_(2) to integrate the SHAP framework model to visually illustrate the significance of independent factors associated with MAU in T2DM patients.
  • Who: Wenyan Long and collaborators from the The Affiliated Hospital of Zunyi Medical University, Zunyi, China have published the research work: Development of predictive model for the risk of microalbuminuria: comparison of machine_learning algorithms, in . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?