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Association of inflammation and lung function decline caused by personal PM2.5 exposure: a machine learning approach in time-series data.
Yu, Hao; Xu, Tian; Chen, Juan; Yin, Wenjun; Ye, Fang.
Affiliation
  • Yu H; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 440305, Guangdong, People's Republic of China.
  • Xu T; Department of Occupational and Environmental Health, Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan), and State Key Laboratory of Environment Health (Inc
  • Chen J; Department of Occupational and Environmental Health, Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan), and State Key Laboratory of Environment Health (Inc
  • Yin W; Department of Occupational and Environmental Health, Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan), and State Key Laboratory of Environment Health (Inc
  • Ye F; Department of Occupational and Environmental Health, Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan), and State Key Laboratory of Environment Health (Inc
Environ Sci Pollut Res Int ; 29(53): 80436-80447, 2022 Nov.
Article in En | MEDLINE | ID: mdl-35716299
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Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Air Pollutants / Air Pollution Type of study: Prognostic_studies / Risk_factors_studies Limits: Adult / Humans Language: En Journal: Environ Sci Pollut Res Int Year: 2022 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Air Pollutants / Air Pollution Type of study: Prognostic_studies / Risk_factors_studies Limits: Adult / Humans Language: En Journal: Environ Sci Pollut Res Int Year: 2022 Document type: Article