Development and Validation of an Interpretable Artificial Intelligence Model to Predict 10-Year Prostate Cancer Mortality

SIMPLE SUMMARY: This article presents a gradient-boosted model that can predict 10-year prostate cancer mortality with high accuracy. The model was developed and validated on prospective multicenter data from the PLCO trial. Using XGBoost and Shapley values, it provides interpretability to understan...

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Detalles Bibliográficos
Autores principales: Bibault, Jean-Emmanuel, Hancock, Steven, Buyyounouski, Mark K., Bagshaw, Hilary, Leppert, John T., Liao, Joseph C., Xing, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234681/
https://www.ncbi.nlm.nih.gov/pubmed/34205398
http://dx.doi.org/10.3390/cancers13123064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234681/
https://www.ncbi.nlm.nih.gov/pubmed/34205398
http://dx.doi.org/10.3390/cancers13123064

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