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

Early Results from COVID-19 Studies (339) Non-randomized Protocols and Methods (ehealth) (617) JMIR Theme Issue: COVID-19 Special Issue (2500) Artificial Intelligence (1766) Clinical Information and Decision Making (1678) Wearable Devices and Sensors (1009)

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
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JMIR Formative Res: Risk Assessment of #covid19 Cases in Emergency Departments and Clinics With the Use of Real-Wor… https://t.co/I9PPg9yVHP

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RT @jmirpub: JMIR Formative Res: Risk Assessment of #covid19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and…

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