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Analysis of the prevalence and social security situation of pneumoconiosis in non-coal mine industry in Jiangsu Province
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作者 赵圆 《China Medical Abstracts(Internal Medicine)》 2023年第3期144-144,共1页
Objective To understand the social security situation of current cases of pneumoconiosis in non-coal mine industries in Jiangsu Province,and to provide reference for the treatment and security work of pneumoconiosis p... Objective To understand the social security situation of current cases of pneumoconiosis in non-coal mine industries in Jiangsu Province,and to provide reference for the treatment and security work of pneumoconiosis patients.Methods From January to October 2020,a follow-up survey was conducted on4038 cases of pneumoconiosis in non-coal mine industries of the province from October 1949 to December 2019. 展开更多
关键词 Jiangsu PNEUMOCONIOSIS SECURITY
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Analysis of suspected occupational chronic lead poisoning reported online and subsequent diagnosis in Jiangsu Province from 2014 to 2018
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作者 GAO Qianqian 《China Medical Abstracts(Internal Medicine)》 2022年第2期79-80,共2页
Objective To understand the distribution and characteristics of suspected occupational chronic lead poisoning reported online by Jiangsu Province,and to track the final diagnosis of suspected cases.Methods The suspect... Objective To understand the distribution and characteristics of suspected occupational chronic lead poisoning reported online by Jiangsu Province,and to track the final diagnosis of suspected cases.Methods The suspected occupational chronic lead poisoning cases in Jiangsu Province reported online from 2014 to 2018 were collected as the survey subjects. Based on the reporting of the Occupational Disease Report Card from January 1. 展开更多
关键词 DIAGNOSIS Jiangsu subsequent
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Application of a light-weighted convolutional neural network for automatic recognition of coal workers'pneumoconiosis in the early stage
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作者 崔风涛 《China Medical Abstracts(Internal Medicine)》 2023年第2期82-82,共1页
Objective To construct and verify a light-weighted convolutional neural network(CNN),and explore its application value for screening the early stage(subcategory 0/1 and stage Ⅰ of pneumoconiosis) of coal workers’ pn... Objective To construct and verify a light-weighted convolutional neural network(CNN),and explore its application value for screening the early stage(subcategory 0/1 and stage Ⅰ of pneumoconiosis) of coal workers’ pneumoconiosis(CWP) from digital chest radiography(DR).Methods A total of 1 225 DR images of coal workers who were examined at an Occupational Disease Prevention and Control Institute in Anhui Province from October 2018 to March 2021 were retrospectively collected.All DR images were collectively diagnosed by3 radiologists with diagnostic qualifications and diagnostic results were given.There were 692 DR images with small opacity profusion 0/-or 0/0 and 533 DR images with small opacity profusion 0/1 to stage Ⅲ of pneumoconiosis. 展开更多
关键词 PNEUMOCONIOSIS NEURAL workers
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