ICDXML: enhancing ICD coding with probabilistic label trees and dynamic semantic representations
Zeqiang Wang,
Yuqi Wang,
Haiyang Zhang
et al.
Abstract:Accurately assigning standardized diagnosis and procedure codes from clinical text is crucial for healthcare applications. However, this remains challenging due to the complexity of medical language. This paper proposes a novel model that incorporates extreme multi-label classification tasks to enhance International Classification of Diseases (ICD) coding. The model utilizes deformable convolutional neural networks to fuse representations from hidden layer outputs of pre-trained language models and external me… Show more
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