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

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

Prostate cancer treatment strategies are guided by risk-stratification. This stratification can be difficult in some patients with known comorbidities. New models are needed to guide strategies and determine which patients are at risk of prostate cancer mortality. This article presents a gradient-bo...

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Bibliographic Details
Main Authors: Jean-Emmanuel Bibault, Steven Hancock, Mark K. Buyyounouski, Hilary Bagshaw, John T. Leppert, Joseph C. Liao, Lei Xing
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Cancers
Subjects:
prostate cancer
artificial intelligence
machine learning
prediction
Online Access:https://www.mdpi.com/2072-6694/13/12/3064

Internet

https://www.mdpi.com/2072-6694/13/12/3064

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