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...
Gorde:
| Egile Nagusiak: | , , , , , , , , , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BMC
2024-09-01
|
| Saila: | BMC Medical Informatics and Decision Making |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1186/s12911-024-02662-5 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|