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HybGANN: A Hybrid GAN-GA-ANN Framework for Predicting Diabetes from Imbalanced Medical Data

2025-09-22

Abstract excerpt

<title>Abstract</title> <p>The digitization of medical data has enabled large-scale analysis. However, clinical datasets, such as those used for diabetes prediction, often have class imbalances, with disease cases significantly underrepresented. This imbalance poses a major challenge for traditional machine learning models, which tend to favor the majority classes. In addition, many high-performance models operat...

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Literature Corpus work
fa62974b-65c7-514a-bdef-8e8eda6981db
DOI
10.21203/rs.3.rs-7300855/v1
Open publication

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HybGANN: A Hybrid GAN-GA-ANN Framework for Predicting Diabetes from Imbalanced Medical DataDOI 10.21203/rs.3.rs-7300855/v1
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