Article

Predicting Diabetes Mellitus using Conditional Tabular Generative Adversarial Networks combined with MLP based on Body Composition Data

2025-09-12

Abstract excerpt

<title>Abstract</title> <p>Accurately assessing the risk of diabetes is essential for early intervention and effective management. This study explores the potential of Machine Learning (ML) and Deep Learning (DL) models to analyze body composition measurements as predictors for diabetes screening. We begin by carefully preprocessing the dataset, handling missing values, encoding categorical variables, and classif...

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Literature Corpus work: f992f395-d013-568b-9e79-fcf758b637c2
DOI: 10.21203/rs.3.rs-7344799/v1

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