Fine-tuned Llama 3.1 70B on text-transformed UK Biobank tabular data achieves 0.838 accuracy and 0.892 AUC for MDD diagnosis, beating XGBoost and other baselines.
To our knowledge, the proposed MDD-LLM is the first LLM-based solution fine-tuned on an extensive real-world dataset for MDD diagnosis
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MDD-LLM: Towards Accuracy Large Language Models for Major Depressive Disorder Diagnosis
Fine-tuned Llama 3.1 70B on text-transformed UK Biobank tabular data achieves 0.838 accuracy and 0.892 AUC for MDD diagnosis, beating XGBoost and other baselines.