A Review of Methodology and techniques for analysis of diabetes Prediction

  • Janhavi R Raut Jagdish Prasad Jhabarmal Tibrewala, University, Rajasthan, India
  • Priyanka Banger Dept. of Comp. Science, Sonopant Dandekar College, Palghar, India
Keywords: Diabetes, KNN, SVM, Random Forest, Naïve Bayes, Decision Tree.

Abstract

In almost all nations, diabetes mellitus was among the most prevalent persistent diseases and continues to boom in numbers and significance, as economic growth and urbanisation contribute to evolving lifestyles marked by decreased physical hobby and weight issues.In this paper, based on different predictive analytics algorithms, we analysed different cases related to diabetes mellitus and concluded that a single approach is not appropriate for predictive analytics.

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Published
2021-06-30