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

Internet

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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