Machine-Learning-Based Tool to Predict Target Prostate Biopsy Outcomes: An Internal Validation Study

The aim of this study is to present a personalized predictive model (PPM) with a machine learning (ML) system that is able to identify and classify patients with suspected prostate cancer (PCa) following mpMRI. We extracted all the patients who underwent fusion biopsy (FB) from March 2014 to Decembe...

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Detalles Bibliográficos
Autores principales: Checcucci, Enrico, Rosati, Samanta, De Cillis, Sabrina, Giordano, Noemi, Volpi, Gabriele, Granato, Stefano, Zamengo, Davide, Verri, Paolo, Amparore, Daniele, De Luca, Stefano, Manfredi, Matteo, Fiori, Cristian, Di Dio, Michele, Balestra, Gabriella, Porpiglia, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342762/
https://www.ncbi.nlm.nih.gov/pubmed/37445393
http://dx.doi.org/10.3390/jcm12134358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342762/
https://www.ncbi.nlm.nih.gov/pubmed/37445393
http://dx.doi.org/10.3390/jcm12134358

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