Multi-label classification is a dynamic field within machine learning that allows a single instance to be associated with multiple labels simultaneously. Over recent years, advances in this domain ...
A cell’s morphology comprises vast amounts of information on cell health and differentiation state and yields insight into cell phenotype. Biologists utilize this information on a daily basis to aid ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...