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Benchmarking Synthetic and Real-World Data for Oral Premalignant Lesion Prediction Using Explainable Machine Learning

2026-06-11

Abstract excerpt

<title>Abstract</title> <p>Background OPLs are a significant public health problem in rural India due to the prevalence of tobacco and areca nut use and the scarcity of screening facilities. Machine learning (ML) models have the potential for the early detection of OPL; however, real-world clinical data from these settings are extremely class imbalanced. We suggest a number of augmentation methods, such as the S...

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Literature Corpus work: 0bdff2d1-ef88-54db-811d-30abbde30e53
DOI: 10.21203/rs.3.rs-9748110/v1

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