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. 2021 Feb 22;23(2):e23390. doi: 10.2196/23390

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©Wanfa Dai, Pei-Feng Ke, Zhen-Zhen Li, Qi-Zhen Zhuang, Wei Huang, Yi Wang, Yujuan Xiong, Xian-Zhang Huang. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.02.2021.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

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Area under the receiver operating characteristic curve (AUROC) and precision-recall curve plotted for the COVID-19 vs community-acquired pneumonia (CAP) classifiers built with various feature combinations (FCs) of different clinical laboratory indicators (CLIs). At the top of each image is the CLI combination for constructing classifiers using three different classification algorithms. AFU: α-L-fucosidase; AGR: albumin to globulin ratio; ALB: albumin; BASOC: basophil count; EOC: eosinophil count; LYM: lymphocyte; MCHC: mean corpuscular hemoglobin concentration; MCV: mean (red blood cell) corpuscular volume; MOC: monocyte count; NEUTC: neutrophil count; PCT: procalcitonin; RBC: red blood cell count; UA: uric acid; WBC: white blood cell count.