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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| Автори: | , , , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2024-09-01
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| Серія: | BMC Medical Informatics and Decision Making |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s12911-024-02662-5 |
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