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

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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Bibliographic Details
Main Authors: Biche Osong, Carlotta Masciocchi, Andrea Damiani, Inigo Bermejo, Elisa Meldolesi, Giuditta Chiloiro, Maaike Berbee, Seok Ho Lee, Andre Dekker, Vincenzo Valentini, Jean-Pierre Gerard, Claus Rödel, Krzysztof Bujko, Cornelis van de Velde, Joakim Folkesson, Aldo Sainato, Robert Glynne-Jones, Samuel Ngan, Morten Brændengen, David Sebag-Montefiore, Johan van Soest
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Physics and Imaging in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631622000264

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http://www.sciencedirect.com/science/article/pii/S2405631622000264

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