Proposing an Intelligent Monitoring System for Early Prediction of Need for Intubation among COVID-19 Hospitalized Patients

Proposing an Intelligent Monitoring System for Early Prediction of Need for Intubation among COVID-19 Hospitalized Patients

Introduction: Predicting acute respiratory insufficiency due to coronavirus disease 2019 (COVID-19) can diminish the severe complications and mortality associated with the disease. This study aimed to develop an intelligent system based on machine learning (ML) models for frontline clinicians to eff...

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Bibliographic Details
Main Authors: Mohammad Reza Afrash, Hadi Kazemi-Arpanahi, Raoof Nopour, Elmira Sadat Tabatabaei, Mostafa Shanbehzadeh
Format: Article
Language:English
Published: Shahid Sadoughi University of Medical Sciences 2022-09-01
Series:Journal of Environmental Health and Sustainable Development
Subjects:
covid-19
coronavirus
artificial intelligence
machine learning
intubation
prognosis.
Online Access:http://jehsd.ssu.ac.ir/article-1-451-en.html

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