Repository of Research and Investigative Information

Repository of Research and Investigative Information

دانشگاه علوم پزشکی و خدمات بهداشتی درمانی زنجان

Determination of the Most Important Diagnostic Criteria for COVID-19: A Step forward to Design an Intelligent Clinical Decision Support System

(2021) Determination of the Most Important Diagnostic Criteria for COVID-19: A Step forward to Design an Intelligent Clinical Decision Support System. Journal of Advances in Medical and Biomedical Research. pp. 176-182. ISSN 2676-6264

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Abstract

Background & Objective: Since the clinical and epidemiologic characteristics of coronavirus disease 2019 (COVID-19) is not well known yet, investigating its origin, etiology, diagnostic criteria, clinical manifestations, risk factors, treatments, and other related aspects is extremely important. In this situation, clinical experts face many uncertainties to make decision about COVID-19 prognosis based on their judgment. Accordingly, this study aimed to determine the diagnostic criteria for COVID-19 as a prerequisite to develop clinical diagnostic models. Materials & Methods: In this retrospective study, the Enter method of the binary logistic regression (BLR) and the Forward Wald method were used to measure the odds ratio (OR) and the strength of each criterion, respectively. P-value<0.05 was considered as statistically significant for bivariate correlation coefficient. Results: Phi-Crammer’s examination test showed that 12 diagnostic criteria were statistically important; measuring OR revealed that six criteria had the best diagnostic power. Finally, true classification rate and the area under receiver operative characteristics curve (AUC) were calculated as 90.25% and 0.835, respectively. Conclusion: Identification of diagnostic criteria has become the standard approach for disease modeling; it helps to design decision support tools. After analyzing and comparing six diagnostic performance measures, we observed that these variables have a high diagnostic power for COVID-19 detection.

Item Type: Article
Keywords: COVID-19, Coronavirus, Diagnostic criteria, Odds ratio, Regression model
Divisions: vice research > Journal of Advances in Medical and Biomedical Research
Page Range: pp. 176-182
Journal or Publication Title: Journal of Advances in Medical and Biomedical Research
Volume: 29
Number: 134
Publisher: Zanjan University of Medical Sciences
Identification Number: https://doi.org/10.30699/jambs.29.134.176
ISSN: 2676-6264
Depositing User: خانم فرزانه محمودوند
URI: http://repository.zums.ac.ir/id/eprint/8016

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