Predicting type 2 diabetes using logistic regression and machine learning approaches

HIGHLIGHTS

• who: Ram D. Joshi and Chandra K. Dhakal from the Department of Agricultural and Applied Economics, University of Georgia, Athens, GA, USA have published the research work: Predicting Type 2 Diabetes Using Logistic Regression and Machine Learning Approaches, in the Journal: (JOURNAL)
• what: Among them, the authors implement logistic regression and a classification tree-a machine_learning technique. For the sake of completeness, the authors also calculated the prediction accuracy and crossvalidation errors of the models proposed based on the logistic regression . The authors propose the following model: Logit(u03c0 ) =-25.4 + 1.28 * Pregnancy + 0 . . .
  

   

  

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