Predictive model of risk factors of High Flow Nasal Cannula using machine learning in COVID-19

With the rapid increase in the number of COVID-19 patients in Japan, the number of patients receiving oxygen at home has also increased rapidly, and some of these patients have died. An efficient approach to identify high-risk patients with slowly progressing and rapidly worsening COVID-19, and to a...

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Detalles Bibliográficos
Autores principales: Matsunaga, Nobuaki, Kamata, Keisuke, Asai, Yusuke, Tsuzuki, Shinya, Sakamoto, Yasuaki, Ijichi, Shinpei, Akiyama, Takayuki, Yu, Jiefu, Yamada, Gen, Terada, Mari, Suzuki, Setsuko, Suzuki, Kumiko, Saito, Sho, Hayakawa, Kayoko, Ohmagari, Norio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352414/
https://www.ncbi.nlm.nih.gov/pubmed/35945955
http://dx.doi.org/10.1016/j.idm.2022.07.006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352414/
https://www.ncbi.nlm.nih.gov/pubmed/35945955
http://dx.doi.org/10.1016/j.idm.2022.07.006

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