现代信息科技2024，Vol.8Issue(16)：83-87,5.DOI:10.19850/j.cnki.2096-4706.2024.16.018
基于机器学习的膀胱癌患者生存预测模型研究
Research on Survival Prediction Model of Bladder Cancer Patients Based on Machine Learning
摘要
Abstract
This research focuses on constructing a survival prediction model based on Machine Learning to predict the 1-year,3-year,and 5-year survival rates for patients with Bladder Cancer,aid clinicians in accurately identifying patients with poor prognosis and assist in formulating clinical prognosis plans.Patient data is obtained from the Surveillance,Epidemiology,and End Results(SEER)database.The survival prediction model is constructed based on Logistic Regression(LR),Random Forest(RF),Gradient Boosting Decision Tree(GBDT),and the Cox proportional hazards model.The performance of the model is evaluated using the receiver operating characteristic curve and calibration curve on the training and validation sets.The experimental results demonstrate that GBDT exhibits high discrimination and good calibration in predicting the 1-year,3-year,and 5-year survival rates for BC patients.关键词
膀胱癌/生存预测/机器学习/COX回归Key words
bladder cancer/survival prediction/Machine Learning/COX regression分类
信息技术与安全科学引用本文复制引用
方昱衡,李泽伟,许迎盈,李功利,李科..基于机器学习的膀胱癌患者生存预测模型研究[J].现代信息科技,2024,8(16):83-87,5.基金项目
2022年四川省重点研发项目(22ZDYF0376) （22ZDYF0376）
2022年宜宾市科技计划项目(2022ZYD06) （2022ZYD06）
