Development, comparison, and validation of four intelligent, practical machine learning models for patients with prostate-specific antigen in the gray zone

PurposeMachine learning prediction models based on LogisticRegression, XGBoost, GaussianNB, and LGBMClassifier for patients in the prostate-specific antigen gray zone are to be developed and compared, identifying valuable predictors. Predictive models are to be integrated into actual clinical decisi...

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发表在:	Frontiers in Oncology
Main Authors:	Taobin Liu, Xiaoming Zhang, Ru Chen, Xinxi Deng, Bin Fu
格式:	文件
语言:	英语
出版:	Frontiers Media S.A. 2023-06-01
主题:	prostate cancer gray area PSA machine learning LogisticRegression XGBoost GaussianNB
在线阅读:	https://www.frontiersin.org/articles/10.3389/fonc.2023.1157384/full