Improving the Quality of Unstructured Cancer Data Using Large Language Models: A German Oncological Case Study...Medical Informatics Europe (MIE) 34th Conference, August 25–29, 2024, Athens, Greece.
With cancer being a leading cause of death globally, epidemiological and clinical cancer registration is paramount for enhancing oncological care and facilitating scientific research. However, the heterogeneous landscape of medical data presents significant challenges to the current manual process o...
| Publicado en: | Studies in Health Technology & Informatics Vol. 316; pp. 685 - 690 |
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| Autores principales: | , , , , , , , , |
| Formato: | proceedings tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |