Results 31 to 40 of about 33,519 (296)

Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays

open access: yesInternational Journal of Environmental Research and Public Health, 2022
Pneumoconiosis is a group of occupational lung diseases induced by mineral dust inhalation and subsequent lung tissue reactions. It can eventually cause irreparable lung damage, as well as gradual and permanent physical impairments.
Liton Devnath   +4 more
semanticscholar   +1 more source

Use data augmentation for a deep learning classification model with chest X-ray clinical imaging featuring coal workers' pneumoconiosis

open access: yesBMC Pulmonary Medicine, 2022
Purpose This paper aims to develop a successful deep learning model with data augmentation technique to discover the clinical uniqueness of chest X-ray imaging features of coal workers' pneumoconiosis (CWP).
Hantian Dong   +3 more
semanticscholar   +1 more source

Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China

open access: yesBMC Public Health, 2022
This study aims to explore appropriate model for predicting the disease burden of pneumoconiosis in Tianjin by comparing the prediction effects of Autoregressive Integrated Moving Average (ARIMA) model, Deep Neural Networks (DNN) model and multivariate ...
H. Lou, Xin Wang, Ya Gao, Q. Zeng
semanticscholar   +1 more source

Epidemiological analysis on death cases of pneumoconiosis during 1959‒2019 in Chongming District of Shanghai

open access: yesShanghai yufang yixue, 2022
ObjectiveTo study the epidemiological characteristics of deaths due to pneumoconiosis and its complications in order to improve the prevention and management of pneumoconiosis.MethodsThe pneumoconiosis deaths who died during 1959‒2019 in Chongming ...
WANG Jinxiang   +4 more
doaj   +1 more source

Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

open access: yesParticle and Fibre Toxicology, 2022
Most toxicological studies on titanium dioxide (TiO2) particles to date have concentrated on carcinogenicity and acute toxicity, with few studies focusing of pneumoconiosis, which is a variety of airspace and interstitial lung diseases caused by particle-
S. Yamano   +13 more
semanticscholar   +1 more source

Epigenetic Changes and Functions in Pneumoconiosis

open access: yesOxidative Medicine and Cellular Longevity, 2022
Pneumoconiosis is one of the most common occupational diseases in the world, and specific treatment methods of pneumoconiosis are lacking at present, so it carries great social and economic burdens.
Yiping Li   +4 more
semanticscholar   +1 more source

Estimating mortality from coal workers' pneumoconiosis among Medicare beneficiaries with pneumoconiosis using binary regressions for spatially sparse data

open access: yesAmerican Journal of Industrial Medicine, 2022
Background Coal workers' pneumoconiosis (CWP) is an occupational lung disease due to inhalation of coal dust. We estimated mortality from CWP and other pneumoconioses among Medicare beneficiaries.
Rajib Paul, O. Adeyemi, A. Arif
semanticscholar   +1 more source

Educational Case: Pneumoconiosis [PDF]

open access: yesAcademic Pathology, 2021
The following fictional case is intended as a learning tool within the Pathology Competencies for Medical Education (PCME), a set of national standards for teaching pathology. These are divided into three basic competencies: Disease Mechanisms and Processes, Organ System Pathology, and Diagnostic Medicine and Therapeutic Pathology.
Julie-Ann Nguyen, Darren Salmi
openaire   +4 more sources

Occupational noise exposure and the prevalence of dyslipidemia in a cross-sectional study

open access: yesBMC Public Health, 2021
Background Occupational noise exposure was related to cardiovascular disease, of which dyslipidemia was an important inducement. This study investigated the relationship between occupational noise exposure and dyslipidemia.
Kun Zhang   +3 more
doaj   +1 more source

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