Bayesian network structure for predicting local tumor recurrence in rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery

BACKGROUND AND PURPOSE: Tumor recurrence, a characteristic of malignant tumors, is the biggest concern for rectal cancer survivors. The epidemiology of the disease calls for a pressing need to improve healthcare quality and patient outcomes. Prediction models such as Bayesian networks, which can pro...

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Detalles Bibliográficos
Autores principales: Osong, Biche, Masciocchi, Carlotta, Damiani, Andrea, Bermejo, Inigo, Meldolesi, Elisa, Chiloiro, Giuditta, Berbee, Maaike, Lee, Seok Ho, Dekker, Andre, Valentini, Vincenzo, Gerard, Jean-Pierre, Rödel, Claus, Bujko, Krzysztof, van de Velde, Cornelis, Folkesson, Joakim, Sainato, Aldo, Glynne-Jones, Robert, Ngan, Samuel, Brændengen, Morten, Sebag-Montefiore, David, van Soest, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968052/
https://www.ncbi.nlm.nih.gov/pubmed/35372704
http://dx.doi.org/10.1016/j.phro.2022.03.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968052/
https://www.ncbi.nlm.nih.gov/pubmed/35372704
http://dx.doi.org/10.1016/j.phro.2022.03.002

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