Copy For Citation
Özger H. S., Aysert Yıldız P., Gaygısız Ü., Uğraş Dikmen A., Demirbaş Gülmez Z., Yıldız M., ...More
TURKISH JOURNAL OF MEDICAL SCIENCES, vol.50, no.8, pp.1810-1816, 2020 (SCI-Expanded)
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Publication Type:
Article / Article
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Volume:
50
Issue:
8
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Publication Date:
2020
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Doi Number:
10.3906/sag-2005-385
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Journal Name:
TURKISH JOURNAL OF MEDICAL SCIENCES
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Journal Indexes:
Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database, TR DİZİN (ULAKBİM)
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Page Numbers:
pp.1810-1816
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Keywords:
COVID-19, pneumonia, predicting factors
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Gazi University Affiliated:
Yes
Abstract
Background/aim: Pneumonia is the most serious clinical presentation of COVID-19. This study aimed to determine the demographic, clinical, and laboratory findings that can properly predict COVID-19 pneumonia.