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Multi-label Classification on Liver CT reports (test)

89.7CystGPT-4 (ICL)
52.2661.9871.781.42May 19, 2026

Evaluation results

MethodLinks
GPT-4 (ICL)In-Context Learning=three random samples from the training set2026.0589.788.876.392.59278.594.987.587.4
PromptRad+AutoTThresholding=Automatic, Evaluation=Average from five runs2026.0589.590.878.49197.384.792.489.289.4
GPT-4mode=Zero-shot2026.0586.191.579.196.698.973.895.188.788.7
PromptRadEvaluation=Average from five runs2026.057889.176.986.295.771.988.483.784.1
MetaMap2026.0577.686.948.653.595.727.584.667.869.1
NegBio2026.0577.686.981.482.795.727.584.676.679.2
PubMedBERT+MetaMapIntegration=MetaMap, Evaluation=Average from five runs2026.0568.183.964.56884.547.170.169.570.3
PubMedBERT+NegBioIntegration=NegBio, Evaluation=Average from five runs2026.0568.183.976.88184.547.170.173.174.1
Label Match2026.0567.588.5087.7048.698.355.862.3
PubMedBERTEvaluation=Average from five runs2026.0553.780.470.464.548.354.937.758.660.9