Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study.
- DOI
- 10.2196/36933
- Published
- 2022 Nov 8
- Container
- JMIR formative research
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.2196/36933,
title = {Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study.},
author = {Logaras E and Billis A and Kyparissidis Kokkinidis I and Ketseridou SN and Fourlis A and Tzotzis A and Imprialos K and Doumas M and Bamidis P},
year = {2022},
journal = {JMIR formative research},
doi = {10.2196/36933},
url = {https://doi.org/10.2196/36933}
}RIS
TY - JOUR TI - Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study. AU - Logaras E AU - Billis A AU - Kyparissidis Kokkinidis I AU - Ketseridou SN AU - Fourlis A AU - Tzotzis A AU - Imprialos K AU - Doumas M AU - Bamidis P PY - 2022 JO - JMIR formative research DO - 10.2196/36933 UR - https://doi.org/10.2196/36933 ER -
APA
E, L., A, B., I, K. K., SN, K., A, F., A, T., K, I., M, D., & P, B. (2022). Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study.. JMIR formative research. https://doi.org/10.2196/36933
Source records
- pubmed · retrieved 2026-09-26T05:28:58.222Z