Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis

Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis

Background: Radiation-induced esophagitis remains a significant challenge in thoracic and neck cancer treatment, impacting patient quality of life and potentially limiting therapeutic efficacy. This study aimed to develop and validate a decision tree-based model for predicting acute esophagitis grad...

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Bibliographic Details
Main Authors: Mostafa Alizade-Harakiyan, Amin Khodaei, Ali Yousefi, Hamed Zamani, Asghar Mesbahi
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Biochemistry and Biophysics Reports
Subjects:
Radiation-induced esophagitis
Decision tree classifier
Predictive modeling
Machine learning
Radiotherapy
Treatment planning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405580825000780
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