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...

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Detalles Bibliográficos
Autores principales: George, Renee, Ellis, Benjamin, West, Andrew, Graff, Alex, Weaver, Stephen, Abramowski, Michelle, Brown, Katelin, Kerr, Lauren, Lu, Sheng-Chieh, Swisher, Christine, Sidey-Gibbons, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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