A STATISTICAL INVESTIGATION ON MACHINE LEARNING BASED MODELLING OF DIABETES MELLITUS
Keywords:
Diabetes, Machine Learning, Predictive Modeling, Healthcare, DiagnosisAbstract
Diabetes Mellitus (DM) is a chronic metabolic disorder that poses significant global health challenges, particularly with the rising incidence of Type 2 Diabetes Mellitus (T2DM). This study presents a machine learning-based predictive framework for early diagnosis of T2DM using lifestyle and biological data collected from a diverse population. After data collection and preprocessing, class imbalance was addressed using the Synthetic Minority Oversampling Technique (SMOTE).
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