Predicting severe haematological toxicity in gastrointestinal cancer patients undergoing 5-FU-based chemotherapy: A bayesian network approach

Predicting severe haematological toxicity in gastrointestinal cancer patients undergoing 5-FU-based chemotherapy: A bayesian network approach

Purpose: Severe toxicity is reported in about 30% of gastrointestinal cancer patients receiving 5-Fluorouracil (5-FU)-based chemotherapy. To date, limited tools exist to identify at risk patients in this setting. The objective of this study was to address this need by designing a predictive model...

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Bibliographic Details
Main Authors: Ruiz-Sarrias, O. (Oskitz), Gónzalez-Deza, C. (Cristina), Rodríguez-Rodríguez, J. (Javier), Arrizibita-Iriarte, O. (Olast), Vizcay-Atienza, A. (Angel), Zumárraga-Lizundia, T. (Teresa), Sayar, O. (Onintza), Aldaz, A. (Azucena)
Format: info:eu-repo/semantics/article
Language:eng
Published: MDPI AG 2024
Subjects:
Haematotoxicity prediction
5-FU
Neutropenia
Thrombocytopenia
Leukopenia
Gastrointestinal cancer
Bayesian network
Machine learning
Artificial intelligence
Online Access:https://hdl.handle.net/10171/68406

Internet

https://hdl.handle.net/10171/68406

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