Predicting Prostate Cancer Upgrading of Biopsy Gleason Grade Group at Radical Prostatectomy Using Machine Learning-Assisted Decision-Support Models

OBJECTIVE: This study aimed to develop a machine learning (ML)-assisted model capable of accurately predicting the probability of biopsy Gleason grade group upgrading before making treatment decisions. METHODS: We retrospectively collected data from prostate cancer (PCa) patients. Four ML-assisted m...

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Detalles Bibliográficos
Autores principales: Liu, Hailang, Tang, Kun, Peng, Ejun, Wang, Liang, Xia, Ding, Chen, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765752/
https://www.ncbi.nlm.nih.gov/pubmed/33376402
http://dx.doi.org/10.2147/CMAR.S286167

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765752/
https://www.ncbi.nlm.nih.gov/pubmed/33376402
http://dx.doi.org/10.2147/CMAR.S286167

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