Development and Validation of Machine Learning Models for Lung Cancer Risk Prediction in High-Risk Population: A Retrospective Cohort Study  

作　　者：Yu Su Haoran Zhan Shangyao Li Yitong Lu Ruhuan Ma Hai Fang Tingting Xu Yu Tian 

机构地区：[1]School of Public Health,Capital Medical University,Beijing 100069,China [2]China Center for Health Development Studies,Peking University,Beijing 100191,China

出　　处：《Biomedical and Environmental Sciences》2025年第4期501-505,共5页生物医学与环境科学(英文版)

基　　金：supported by the National Natural Science Foundation of China(grant numbers 82204127 and 72204172)。

摘　　要：Lung cancer, the leading cause of cancer deaths worldwide and in China, has a 19.7% five-year survival rate due to terminal-stage diagnosis^([1-3]).Although low-dose computed tomography(CT) screening can reduce mortality, high false positive rates can create economic and psychological burdens.

关 键 词：lung cancer retrospective cohort study lung cancer risk prediction low dose computed tomography high risk population MORTALITY machine learning false positive rates 

分 类 号：R734.2[医药卫生—肿瘤]