Nature

Robust diabetic prediction using ensemble machine learning models with synthetic minority over-sampling technique

Millions of individuals throughout the world suffer from the chronic condition diabetes. It is characterized by elevated blood sugar levels due to inadequate insulin production or utilization. Insulin ...
Nature

Early prediction of postpartum dyslipidemia in gestational diabetes using machine learning models

This study addresses a gap in research on predictive models for postpartum dyslipidemia in women with gestational diabetes mellitus (GDM). The goal was to develop a machine learning-based model to ...
Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...