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Predicting survival after radical prostatectomy: Variation of machine learning performance by race
The Prostate ( IF 2.8 ) Pub Date : 2021-09-16 , DOI: 10.1002/pros.24233
Madhur Nayan 1 , Keyan Salari 1, 2 , Anthony Bozzo 3 , Wolfgang Ganglberger 4 , Filipe Carvalho 1 , Adam S Feldman 1 , Quoc-Dien Trinh 5
Affiliation  

Robust prediction of survival can facilitate clinical decision-making and patient counselling. Non-Caucasian males are underrepresented in most prostate cancer databases. We evaluated the variation in performance of a machine learning (ML) algorithm trained to predict survival after radical prostatectomy in race subgroups.

中文翻译:

预测根治性前列腺切除术后的生存率:机器学习性能因种族而异

可靠的生存预测可以促进临床决策和患者咨询。在大多数前列腺癌数据库中,非高加索男性的代表性不足。我们评估了机器学习 (ML) 算法的性能变化,该算法经过训练可预测种族亚组根治性前列腺切除术后的存活率。
更新日期:2021-11-03
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