Prediction of the length of service at the onset of coal workers’ pneumoconiosis based on neural network-Reference-Cited by-同舟云学术

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Prediction of the length of service at the onset of coal workers’ pneumoconiosis based on neural network

Published:2019-07-22 Issue:4 Volume:75 Page:242-250
ISSN:1933-8244
Container-title:Archives of Environmental & Occupational Health
language:en
Short-container-title:Archives of Environmental & Occupational Health

Author:

Zhang Yuyuan¹,Zhang Yansong¹,Liu Bo¹,Meng Xiangbao¹

Affiliation:

1. College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,General Environmental Science,Toxicology

Link

https://www.tandfonline.com/doi/pdf/10.1080/19338244.2019.1644278

Reference32 articles.

1. WHO/ILO work-related burden of disease and injury: Protocol for systematic reviews of occupational exposure to dusts and/or fibres and of the effect of occupational exposure to dusts and/or fibres on pneumoconiosis

2. Interstitial Lung Diseases in the U.S. Mining Industry: Using MSHA Data to Examine Trends and the Prevention Effects of Compliance with Health Regulations, 1996-2015

3. Focusing on Coal Workers’ Lung Diseases: A Comparative Analysis of China, Australia, and the United States

4. Gene Polymorphisms of Fibrinolytic Enzymes in Coal Workers' Pneumoconiosis

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