Articles with "coal workers" as a keyword



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Continued increase in lung transplantation for coal workers’ pneumoconiosis in the United States

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Published in 2018 at "American Journal of Industrial Medicine"

DOI: 10.1002/ajim.22856

Abstract: BACKGROUND Severe coal workers' pneumoconiosis (CWP) is increasingly common, and sometimes requires lung transplantation. METHODS Using Organ Procurement and Transplantation Network data, we updated the trend for CWP-related lung transplants, described CWP patients who have… read more here.

Keywords: lung transplantation; transplantation; coal workers; workers pneumoconiosis ... See more keywords
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The Potential Diagnostic Biomarkers for the IgG Subclass in Coal Workers' Pneumoconiosis

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Published in 2023 at "Journal of Immunology Research"

DOI: 10.1155/2023/9233386

Abstract: Evidence suggests that exposure to coal dust increases immunoglobulin concentration. However, there is a paucity of data reporting immunoglobulin G (IgG) subclass in coal workers' pneumoconiosis (CWP). Therefore, this study intended to evaluate potential diagnostic… read more here.

Keywords: workers pneumoconiosis; igg subclass; coal; coal workers ... See more keywords
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Survival Analysis of Coal Workers’ Pneumoconiosis (CWP) Patients in a State-Owned Mine in the East of China from 1963 to 2014

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Published in 2017 at "International Journal of Environmental Research and Public Health"

DOI: 10.3390/ijerph14050489

Abstract: To investigate the mortality probability, life expectancy of coal workers’ pneumoconiosis (CWP), and related factors of life expectancy, a total of 495 patients with CWP were diagnosed and reported from 1963 to 2014 in a… read more here.

Keywords: pneumoconiosis cwp; coal workers; workers pneumoconiosis; cwp patients ... See more keywords
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A response to the Comment on Tomaskova et al. Mortality in Miners with Coal-Workers’ Pneumoconiosis in the Czech Republic in the Period 1992–2013. Int. J. Environ. Res. Public Health, 2017, 14, 269 by the Author Mei Yong

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Published in 2018 at "International Journal of Environmental Research and Public Health"

DOI: 10.3390/ijerph15020322

Abstract: At first, we would like to thank Mei Yong for the comments on our article Mortality in Miners with Coal-Workers' Pneumoconiosis in the Czech Republic in the Period 1992-2013 [...]. read more here.

Keywords: miners coal; mortality miners; pneumoconiosis czech; mei yong ... See more keywords
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Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review

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Published in 2022 at "International Journal of Environmental Research and Public Health"

DOI: 10.3390/ijerph19116439

Abstract: Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers’ pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly improve workers’ survival rate. The development of the CAD systems will… read more here.

Keywords: workers pneumoconiosis; review; systematic literature; coal workers ... See more keywords
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Screening of Serum Biomarkers of Coal Workers’ Pneumoconiosis by Metabolomics Combined with Machine Learning Strategy

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Published in 2022 at "International Journal of Environmental Research and Public Health"

DOI: 10.3390/ijerph19127051

Abstract: Pneumoconiosis remains one of the most serious global occupational diseases. However, effective treatments are lacking, and early detection is crucial for disease prevention. This study aimed to explore serum biomarkers of occupational coal workers’ pneumoconiosis… read more here.

Keywords: workers pneumoconiosis; machine; machine learning; serum biomarkers ... See more keywords
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Convolutional Neural Network-Based ECG-Assisted Diagnosis for Coal Workers

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Published in 2022 at "International Journal of Environmental Research and Public Health"

DOI: 10.3390/ijerph20010009

Abstract: Objective: To process and extract electrocardiogram (ECG, ECG, or EKG) features using a convolutional neural network (CNN) to establish an ECG-assisted diagnosis model. Methods: Coal workers who underwent physical examinations at Gequan Mine Hospital and… read more here.

Keywords: neural network; ecg; convolutional neural; model ... See more keywords