Mathematical Foundations of Diabetes Forecasting Studies: A Comparative Analysis of Statistics and ML Models

نویسندگان

1 Department of Statistics, Payame Noor University, Tehran, Iran.

doi
10.18502/ijdo.v18i2.21648
چکیده

This study provides a systematic comparison of the mathematical properties, strengths, and limitations of traditional statistical methods and machine learning models in diabetes forecasting. While classical approaches like logistic regression and ANOVA offer interpretability and simplicity, their reliance on linear assumptions and sensitivity to heteroscedasticity limit their utility in modeling complex, ...