Machine learning based models for predicting presentation delay risk among gastric cancer patients

Machine learning based models for predicting presentation delay risk among gastric cancer patients

ObjectivePresentation delay of cancer patients prevents the patient from timely diagnosis and treatment leading to poor prognosis. Predicting the risk of presentation delay is crucial to improve the treatment outcomes. This study aimed to develop and validate prediction models of presentation delay...

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Bibliographic Details
Main Authors: Huali Zhou, Qiong Gu, Rong Bao, Liping Qiu, Yuhan Zhang, Fang Wang, Wenlian Liu, Lingling Wu, Li Li, Yihua Ren, Lei Qiu, Qian Wang, Gaomin Zhang, Xiaoqing Qiao, Wenjie Yuan, Juan Ren, Min Luo, Rong Huang, Qing Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Oncology
Subjects:
gastric cancer
presentation delay
risk prediction
machine learning
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1503047/full
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