Open AccessRisk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study
Author(s) -
Evangelos Logaras,
Antonis Billis,
Ilias Kokkinidis,
Smaranda Ketseridou,
Alexis Fourlis,
Κonstantinos Imprialos,
Aristotelis Tzotzis,
Michail Doumas,
Panagiotis Bamidis
Publication year - 2022
Publication title -
jmir formative research
Language(s) - English
Resource type - Journals
ISSN - 2561-326X
DOI - 10.2196/36933
Subject(s) - medical emergency , wearable computer , observational study , random forest , intensive care unit , medicine , vital signs , emergency department , data collection , covid-19 , emergency medicine , computer science , artificial intelligence , intensive care medicine , disease , nursing , statistics , surgery , mathematics , pathology , infectious disease (medical specialty) , embedded system