Article

CIN-RiskNet: A Dynamic Feature-Enhanced TabTransformer with Hybrid SMOTE-Noise Augmentation for Contrast-Induced Nephropathy Prediction

2026-03-25

Abstract excerpt

<title>Abstract</title> <p>Background Contrast-Induced Nephropathy (CIN) is a serious complication following the use of contrast media in cardiovascular interventions, with no effective treatment available. Early prediction is crucial for prevention, but existing models often struggle with class imbalance, feature redundancy, and noise in clinical data. Methods This study proposes CIN-RiskNet, a dynamic feature...

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Literature Corpus work: d2a49f37-dc1e-5c78-afa1-4f4e6eddf848
DOI: 10.21203/rs.3.rs-9161846/v1

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