Progressive Massive Fibrosis Identified at Federally Funded Black Lung Clinics in the US

Author:

Harris Drew A.1,Almberg Kirsten S.2,Blackley David J.3,Cohen Robert A.2,Edwards Chesnee4,Johnson Bradley4,Hall Noemi B.3

Affiliation:

1. Department of Medicine, University of Virginia, Charlottesville

2. School of Public Health, University of Illinois Chicago, Chicago

3. Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia

4. Black Lung Clinic, Stone Mountain Health Services, Jonesville, Virginia

Abstract

This study of US Black Lung Clinics (established to treat coal miners) reports the prevalence of progressive massive fibrosis identified through June 2023.

Publisher

American Medical Association (AMA)

Reference5 articles.

1. Progressive massive fibrosis in coal miners from 3 clinics in Virginia.;Blackley;JAMA,2018

2. Continued increase in prevalence of r-type opacities among underground coal miners in the USA.;Hall;Occup Environ Med,2019

3. The Black Lung Data and Resource Center. Black Lung Center of Excellence. Accessed September 20, 2023. https://blacklungcoe.org/the-black-lung-data-resource-center/

4. Mine Safety and Health Administration. Lowering miners’ exposure to respirable crystalline silica and improving respiratory protection. Federal Register. Published July 13, 2023. Accessed September 20, 2023. https://www.federalregister.gov/documents/2023/07/13/2023-14199/lowering-miners-exposure-to-respirable-crystalline-silica-and-improving-respiratory-protection

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimizing Lung Opacity Classification in Chest X-ray Images through Transfer Learning on VGG19 CNN Model;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03

2. Lung Opacity Classification in Chest X-Ray Images with a DenseNet201 Transfer Learning-Based Pre-Trained Convolutional Neural Network Model;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3