Development and Validation of an Interpretable Artificial Intelligence Model to Predict 10-Year Pros...
Development and Validation of an Interpretable Artificial Intelligence Model to Predict 10-Year Prostate Cancer Mortality
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
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-boosting model to predict the risk of prostate cance...
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Development and Validation of an Interpretable Artificial Intelligence Model to Predict 10-Year Prostate Cancer Mortality
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8234681
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8234681
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ISSN
2072-6694
E-ISSN
2072-6694
DOI
10.3390/cancers13123064