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Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting
BACKGROUND: Cancer patients often experience treatment-related symptoms which, if uncontrolled, may require emergency department admission. We developed models identifying breast or genitourinary cancer patients at the risk of attending emergency department (ED) within 30-days and demonstrated the d...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287624/ https://www.ncbi.nlm.nih.gov/pubmed/37349541 http://dx.doi.org/10.1038/s43856-023-00317-6 |