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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...
Autores principales: | Bibault, Jean-Emmanuel, Hancock, Steven, Buyyounouski, Mark K., Bagshaw, Hilary, Leppert, John T., Liao, Joseph C., Xing, Lei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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