Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Could 18-FDG PET-CT Radiomic Features Predict the Locoregional Progression-Free Survival in Inoperable or Unresectable Oesophageal Cancer?
por: De Bari, Berardino, et al.
Publicado: (2022) -
Editorial: New understandings and research in anal squamous cell carcinoma
por: Kim, Stefano, et al.
Publicado: (2023) -
Prioritization on palliative radiotherapy during the COVID-19 pandemic (and beyond)()
por: Cellini, Francesco, et al.
Publicado: (2020) -
MITHRA – multiparametric MR/CT image adapted brachytherapy (MR/CT-IABT) in anal canal cancer: a feasibility study
por: Tagliaferri, Luca, et al.
Publicado: (2015) -
Comparison of elective inguinal node irradiation techniques in anal cancer
por: Cha, Jihye, et al.
Publicado: (2011)