Automatic pulmonary auscultation grading diagnosis of Coronavirus Disease 2019 in China with artificial intelligence algorithms: A cohort study

BACKGROUND AND OBJECTIVE: Research on automatic auscultation diagnosis of COVID-19 has not yet been developed. We therefore aimed to engineer a deep learning approach for the automated grading diagnosis of COVID-19 by pulmonary auscultation analysis. METHODS: 172 confirmed cases of COVID-19 in Tongj...

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Detalles Bibliográficos
Autores principales: Zhu, Hongling, Lai, Jinsheng, Liu, Bingqiang, Wen, Ziyuan, Xiong, Yulong, Li, Honglin, Zhou, Yuhua, Fu, Qiuyun, Yu, Guoyi, Yan, Xiaoxiang, Yang, Xiaoyun, Zhang, Jianmin, Wang, Chao, Zeng, Hesong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550891/
https://www.ncbi.nlm.nih.gov/pubmed/34768234
http://dx.doi.org/10.1016/j.cmpb.2021.106500

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550891/
https://www.ncbi.nlm.nih.gov/pubmed/34768234
http://dx.doi.org/10.1016/j.cmpb.2021.106500

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