BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Abstract: Contemporary public discourse surrounding artificial intelligence (AI) often displays disproportionate fear and confusion relative to AI’s actual potential. This study examines how the use ...
Abstract: Real-world datasets often suffer from both noisy labels and imbalanced class distribution, presenting significant challenges for the effective deployment of deep neural networks (DNNs).
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback