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Journal Abstract Search

192 related items for PubMed ID: 24376519

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  • 4. Estimates and Predictions of Coal Workers' Pneumoconiosis Cases among Redeployed Coal Workers of the Fuxin Mining Industry Group in China: A Historical Cohort Study.
    Han B, Liu H, Zhai G, Wang Q, Liang J, Zhang M, Cui K, Shen F, Yi H, Li Y, Zhai Y, Sheng Y, Chen J.
    PLoS One; 2016; 11(2):e0148179. PubMed ID: 26845337
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  • 8. Survival Analysis of Coal Workers' Pneumoconiosis (CWP) Patients in a State-Owned Mine in the East of China from 1963 to 2014.
    Han L, Gao Q, Yang J, Wu Q, Zhu B, Zhang H, Ding B, Ni C.
    Int J Environ Res Public Health; 2017 May 06; 14(5):. PubMed ID: 28481235
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  • 9. Time trends and future prediction of coal worker's pneumoconiosis in opencast coal mine in China based on the APC model.
    Li Y, Xian W, Xu H, Sun J, Han B, Liu H.
    BMC Public Health; 2018 Aug 14; 18(1):1010. PubMed ID: 30107832
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  • 10. Prevalence Characteristics of Coal Workers' Pneumoconiosis (CWP) in a State-Owned Mine in Eastern China.
    Han L, Han R, Ji X, Wang T, Yang J, Yuan J, Wu Q, Zhu B, Zhang H, Ding B, Ni C.
    Int J Environ Res Public Health; 2015 Jul 10; 12(7):7856-67. PubMed ID: 26184259
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  • 11. Estimated economic costs of coal workers' pneumoconiosis among coal workers redeployed from the Fuxin mining group in China.
    Han B, Liu H, Zhai G, Wang Q, Liang J, Zhang M, Cui K, Shen F, Yi H, Chen J.
    J Public Health Policy; 2018 Feb 10; 39(1):57-67. PubMed ID: 29116190
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  • 15. [Analysis on the incidence of coal workers' pneumoconiosis from 2003 to 2008 in a coal mining group].
    Song ZF, Qian HY, Wang SS, Jia XM, Ye Y, Ni CH.
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2011 Jan 10; 29(1):56-8. PubMed ID: 21619800
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  • 16. [Study of estimation method for incidence of new cases of coal workers' pneumoconiosis in China].
    Wang D, Zhang M, Zheng YD.
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2013 Jan 10; 31(1):24-9. PubMed ID: 23433154
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  • 17. Rapidly progressive coal workers' pneumoconiosis in the United States: geographic clustering and other factors.
    Antao VC, Petsonk EL, Sokolow LZ, Wolfe AL, Pinheiro GA, Hale JM, Attfield MD.
    Occup Environ Med; 2005 Oct 10; 62(10):670-4. PubMed ID: 16169911
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  • 18. [Analysis on characteristic of patients with stage I coal worker's pneumoconiosis].
    Zheng YM, Guan XX, Mao LJ, Guan L, Zhang YL, Li SQ, Zhao ZM.
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2020 Jun 20; 38(6):447-450. PubMed ID: 32629577
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  • 20. Efficient clinical data analysis for prediction of coal workers' pneumoconiosis using machine learning algorithms.
    Dong H, Zhu B, Kong X, Zhang X.
    Clin Respir J; 2023 Jul 20; 17(7):684-693. PubMed ID: 37380332
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