Development of message passing-based graph convolutional networks for classifying cancer pathology reports

Abstract Background Applying graph convolutional networks (GCN) to the classification of free-form natural language texts leveraged by graph-of-words features (TextGCN) was studied and confirmed to be an effective means of describing complex natural language texts. However, the text classification m...

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Principais autores:	Hong-Jun Yoon, Hilda B. Klasky, Andrew E. Blanchard, J. Blair Christian, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer Doherty, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2024-09-01
Series:	BMC Medical Informatics and Decision Making
Assuntos:	Graph Graph of words Graph convolutional networks Message passing networks Information extraction Cancer pathology reports
Acceso en liña:	https://doi.org/10.1186/s12911-024-02662-5
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