Bi-level artificial intelligence model for risk classification of acute respiratory diseases based on Chinese clinical data

Objective: The high incidence of respiratory diseases has dramatically increased the medical burden under the COVID-19 pandemic in the year 2020. It is of considerable significance to utilize a new generation of information technology to improve the artificial intelligence level of respiratory disea...

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Detalles Bibliográficos
Autores principales: Leng, Jiewu, Wang, Dewen, Ma, Xin, Yu, Pengjiu, Wei, Li, Chen, Wenge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861621/
https://www.ncbi.nlm.nih.gov/pubmed/35221528
http://dx.doi.org/10.1007/s10489-022-03222-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861621/
https://www.ncbi.nlm.nih.gov/pubmed/35221528
http://dx.doi.org/10.1007/s10489-022-03222-y

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