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

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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Bibliographic Details
Main Authors: Nobuaki Matsunaga, Keisuke Kamata, Yusuke Asai, Shinya Tsuzuki, Yasuaki Sakamoto, Shinpei Ijichi, Takayuki Akiyama, Jiefu Yu, Gen Yamada, Mari Terada, Setsuko Suzuki, Kumiko Suzuki, Sho Saito, Kayoko Hayakawa, Norio Ohmagari
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-09-01
Series:Infectious Disease Modelling
Subjects:
COVID-19
Machine learning
Severity
Risk prediction
Japan
Online Access:http://www.sciencedirect.com/science/article/pii/S2468042722000574

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http://www.sciencedirect.com/science/article/pii/S2468042722000574

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