Identification and classification of high risk groups for Coal Workers' Pneumoconiosis using an artificial neural network based on occupational histories: a retrospective cohort study
<p>Abstract</p> <p>Background</p> <p>Coal workers' pneumoconiosis (CWP) is a preventable, but not fully curable occupational lung disease. More and more coal miners are likely to be at risk of developing CWP owing to an increase in coal production and utilization,...
Saved in:
Main Authors: | Sun Gao (Author), Weng Dong (Author), Yang Yongli (Author), Tang Zhifeng (Author), Liu Hongbo (Author), Duan Zhiwen (Author), Chen Jie (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2009-09-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Time trends and future prediction of coal worker's pneumoconiosis in opencast coal mine in China based on the APC model
by: Yuting Li, et al.
Published: (2018) -
Descriptive characteristics of coal workers' pneumoconiosis cases in Turkey.
by: Ferruh Niyazi Ayoglu, et al.
Published: (2014) -
Silica Exposure Appears Causal in Resurgent Severe Coal Workers' Pneumoconiosis
by: Robert Cohen, et al.
Published: (2022) -
Cost-effectiveness of comprehensive preventive measures for coal workers' pneumoconiosis in China
by: Xiaoyan Ge, et al.
Published: (2022) -
Chronic Pulmonary Aspergillosis Infection in Coal Workers Pneumoconiosis With Progressive Massive Fibrosis
by: Avinash Vangara MD, et al.
Published: (2022)