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What is LLM Sentiment Analysis For Facilitating Fibromyalgia Analysis about?

This study explores the use of large language model (LLM)-driven sentiment analysis to aid in the diagnosis of fibromyalgia (FM) by distinguishing it from other chronic pain conditions. The prompt-engineered sentiment analysis achieved an accuracy of 0.87, outperforming the ablated approach, which had an accuracy of 0.76. The findings suggest that sentiment analysis could enhance clinical assessments for FM diagnosis, though further validation is necessary.

Author

dmcorrea1113

Language

EN