Beat Traditional ML Models
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ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
arXiv:2411.06469v2 Announce Type: replace Abstract: Large Language Models (LLMs) hold great promise to revolutionize current clinical systems for their superior capacities on medical text processing tasks and medical licensing exams. Meanwhile, traditional ML models such as SVM and XGBoost have still been mainly adopted in clinical prediction tasks. An emerging question is: Can LLMs beat traditional ML models in clinical prediction?