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. 2022 Jun 16;10(6):e36958. doi: 10.2196/36958

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©Hao Yang, Jiaxi Li, Siru Liu, Xiaoling Yang, Jialin Liu. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 16.06.2022.

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 JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.

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Weight of the variables in the different models. ALT: alanine aminotransferase; APIT: activated partial thromboplastin time; AST: aspartate aminotransferase; CRP: C-reactive protein; DBP: diastolic blood pressure; FIB: fibrinogen; GLB: globulin; GLU: glucose; HB: hemoglobin; HDL: high-density lipoprotein; hr: heart rate; iod-Nateglinide: Iodine urea and Nateglinide; LDL: low-density lipoprotein; p: pulse; PCT: procalcitonin; PLT: blood platelet count; PT: prothrombin time; r: respiratory rate; RBC: red blood cell count; SBP: systolic pressure; t: body temperature; TP: total protein; TT: thrombin time; UA: uric acid; WBC: white blood cell count.