A voting ensemble of fine-tuned Arabic BERT models, fed with LLAMA3-cleaned versions of patient posts, reaches 80.56% accuracy for Arabic disease-type prediction.
Multi-label classification with generative large language models,
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An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction
A voting ensemble of fine-tuned Arabic BERT models, fed with LLAMA3-cleaned versions of patient posts, reaches 80.56% accuracy for Arabic disease-type prediction.