A new COVID-19 intubation prediction strategy using an intelligent feature selection and K-NN method

A new COVID-19 intubation prediction strategy using an intelligent feature selection and K-NN method

Background: Predicting severe respiratory failure due to COVID-19 can help triage patients to higher levels of care, resource allocation and decrease morbidity and mortality. The need for this research derives from the increasing demand for innovative technologies to overcome complex data analysis a...

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Bibliographic Details
Main Authors: Zahra Asghari Varzaneh, Azam Orooji, Leila Erfannia, Mostafa Shanbehzadeh
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
COVID-19
Coronavirus
Artificial intelligent
Machine learning
Data mining
Intubation
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821002884

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http://www.sciencedirect.com/science/article/pii/S2352914821002884

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