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ETHNOS_APP

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Youmei Ying

Dados Biográficos

ID10023665
NOMEYoumei Ying
PRENOMESYoumei
SOBRENOMEYing
ASSINATURAYING Y
AFILIAÇÕESNanjing Jiangning Hospital
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Developing an interpretable machine learning predictive model of chronic obstructive pulmonary disease by serum PFAS concentration

    Open Access•Xiaomei Shao, Ling Zhang et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, with limited early detection strategies. While previous studies have examined the relationship between per- and polyfluoroalkyl substances (PFAS) and COPD, limited research has applied interpretable machine learning (ML) techniques to this association. Methods: We investigated the association between PFAS exposure and COPD risk in 4,4…

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  • Developing an interpretable machine learning predictive model of chronic obstructive pulmonary disease by serum PFAS concentration

    Open Access•Xiaomei Shao, Ling Zhang et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, with limited early detection strategies. While previous studies have examined the relationship between per- and polyfluoroalkyl substances (PFAS) and COPD, limited research has applied interpretable machine learning (ML) techniques to this association. Methods: We investigated the association between PFAS exposure and COPD risk in 4,4…

Artificial Intelligence (1 obras) · Computer Science (1 obras) · Fluorine in Organic Chemistry (1 obras) · Intensive care medicine (1 obras) · Internal Medicine (1 obras) · Machine learning (1 obras) · Medicine (1 obras) · Per- and polyfluoroalkyl substances research (1 obras) · Pulmonary disease (1 obras) · Vitamin D Research Studies (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae