Feature Importance Analysis of a Deep Learning Model for Predicting Late Bladder Toxicity Occurrence in Uterine Cervical Cancer Patients

SIMPLE SUMMARY: This study developed a prediction model for late bladder toxicity in patients with uterine cervical cancer undergoing radiation therapy. A deep learning (DL) model was trained on data from 281 patients and compared its performance with a multivariable logistic regression model. The D...

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Detalles Bibliográficos
Autores principales: Cheon, Wonjoong, Han, Mira, Jeong, Seonghoon, Oh, Eun Sang, Lee, Sung Uk, Lee, Se Byeong, Shin, Dongho, Lim, Young Kyung, Jeong, Jong Hwi, Kim, Haksoo, Kim, Joo Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340146/
https://www.ncbi.nlm.nih.gov/pubmed/37444573
http://dx.doi.org/10.3390/cancers15133463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340146/
https://www.ncbi.nlm.nih.gov/pubmed/37444573
http://dx.doi.org/10.3390/cancers15133463

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