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Enhancing Type 2 Diabetes Prediction through Transfer Learning: A Framework for Utilizing Unpaired Clinical and Genetic Data

2025-03-24

Abstract excerpt

<title>Abstract</title> <p>The prevalence of type 2 diabetes mellitus (T2DM) in Korea has risen in recent years, yet many cases remain undiagnosed. Advanced artificial intelligence (AI) models using multi-modal data have shown promise in disease prediction, but two major challenges persist: the scarcity of samples containing all desired data modalities and class imbalance in T2DM datasets. We propose a novel tran...

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Literature Corpus work
9a6cdf11-bb6c-5bfb-843a-31911e2997ad
DOI
10.21203/rs.3.rs-6208543/v1
Open publication

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Enhancing Type 2 Diabetes Prediction through Transfer Learning: A Framework for Utilizing Unpaired Clinical and Genetic DataDOI 10.21203/rs.3.rs-6208543/v1
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