Article

Comparative Evaluation of Synthetic and Real-World Data in Predicting Oral Premalignant Lesions: A Machine Learning Approach from Rural India

2026-04-09

Abstract excerpt

<title>Abstract</title> <p>Background Oral premalignant lesions (OPLs) represent a major public health burden in rural India, where tobacco and areca nut use is widespread and screening infrastructure limited. Machine learning (ML) models hold potential for early OPL detection, but real-world clinical data from these settings are severely class imbalanced. Synthetic data generation using the Synthetic Minority O...

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Literature Corpus work: 22188870-29c4-5031-baa8-6629f6bf4537
DOI: 10.21203/rs.3.rs-9055319/v1

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