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

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 grades in patien...

Full description

Bibliographic Details

Published in:	Biochemistry and biophysics reports Vol. 42; p. 101991
Main Authors:	Alizade-Harakiyan, Mostafa, Khodaei, Amin, Yousefi, Ali, Zamani, Hamed, Mesbahi, Asghar
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.06.2025 Elsevier
Subjects:	Decision tree classifier Machine learning Predictive modeling Radiation-induced esophagitis Radiotherapy Treatment planning Decision tree classifier Predictive modeling Radiotherapy Radiation-induced esophagitis Treatment planning Machine learning
ISSN:	2405-5808, 2405-5808
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!