An explainable artificial intelligence framework for risk prediction of COPD in smokers

BACKGROUND: Since the inconspicuous nature of early signs associated with Chronic Obstructive Pulmonary Disease (COPD), individuals often remain unidentified, leading to suboptimal opportunities for timely prevention and treatment. The purpose of this study was to create an explainable artificial in...

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Detalles Bibliográficos
Autores principales: Wang, Xuchun, Qiao, Yuchao, Cui, Yu, Ren, Hao, Zhao, Ying, Linghu, Liqin, Ren, Jiahui, Zhao, Zhiyang, Chen, Limin, Qiu, Lixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626705/
https://www.ncbi.nlm.nih.gov/pubmed/37932692
http://dx.doi.org/10.1186/s12889-023-17011-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626705/
https://www.ncbi.nlm.nih.gov/pubmed/37932692
http://dx.doi.org/10.1186/s12889-023-17011-w

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