This paper is in the following e-collection/theme issue:

Early Results from COVID-19 Studies (309) Non-randomized Protocols and Methods (ehealth) (572) JMIR Theme Issue: COVID-19 Special Issue (2461) Artificial Intelligence (1421) Clinical Information and Decision Making (1434) Wearable Devices and Sensors (903)

Published on in Vol 6, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36933, first published .
Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study

Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study

Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study

Authors of this article:

Evangelos Logaras1 Author Orcid Image ;   Antonis Billis1 Author Orcid Image ;   Ilias Kyparissidis Kokkinidis1 Author Orcid Image ;   Smaranda Nafsika Ketseridou1 Author Orcid Image ;   Alexios Fourlis2 Author Orcid Image ;   Aristotelis Tzotzis3 Author Orcid Image ;   Konstantinos Imprialos3 Author Orcid Image ;   Michael Doumas3 Author Orcid Image ;   Panagiotis Bamidis1 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually