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...

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Vydané v:	Biochemistry and biophysics reports Ročník 42; s. 101991
Hlavní autori:	Alizade-Harakiyan, Mostafa, Khodaei, Amin, Yousefi, Ali, Zamani, Hamed, Mesbahi, Asghar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.06.2025 Elsevier
Predmet:	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
On-line prístup:	Získať plný text
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