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

PURPOSE: Machine 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 deci...

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Detalles Bibliográficos
Autores principales:	Liu, Taobin, Zhang, Xiaoming, Chen, Ru, Deng, Xinxi, Fu, Bin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285702/ https://www.ncbi.nlm.nih.gov/pubmed/37361597 http://dx.doi.org/10.3389/fonc.2023.1157384

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