Development and validation of a machine learning-based predictive model to improve the prediction of inguinal status of anal cancer patients: A preliminary report

INTRODUCTION: The role of prophylactic inguinal irradiation (PII) in the treatment of anal cancer patients is controversial. We developped an innovative algorithm based on the Machine Learning (ML) allowing the tailoring of the prescription of PII. RESULTS: Once verified on the independent testing s...

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Detalles Bibliográficos
Autores principales: De Bari, Berardino, Vallati, Mauro, Gatta, Roberto, Lestrade, Laëtitia, Manfrida, Stefania, Carrie, Christian, Valentini, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752460/
https://www.ncbi.nlm.nih.gov/pubmed/29312547
http://dx.doi.org/10.18632/oncotarget.10749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752460/
https://www.ncbi.nlm.nih.gov/pubmed/29312547
http://dx.doi.org/10.18632/oncotarget.10749

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