Article

Development of Explainable Machine Learning Framework for Early Detection and Risk Stratification of Diabetes in Age Specific Variations

2026-04-27

Abstract excerpt

<h4>Objective</h4> To develop and evaluate a novel machine learning (ML) framework tailored to a clinical diabetes dataset and to assess whether demographic stratification enhances model performance and interpretability for multiclass diabetes classification. <h4>Methods</h4> A clinical dataset of 264 patients’ records was used to classify individuals into non-diabetic, prediabetic and diabetic categories. Sever...

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Literature Corpus work: 161d5378-6dcc-54d5-933b-cab46251c9e1
DOI: 10.64898/2026.04.25.26351733

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