BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Partial label learning is an innovative branch within the machine learning field that addresses the challenge of training models on datasets where each instance is associated with a set of candidate ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...