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Cited by in CrossRef
For: Tang M, Yu XX, Huang J, Gao JL, Cen FL, Xiao Q, Fu SZ, Yang Y, Xiong B, Pan YJ, Liu YX, Feng YW, Li JX, Liu Y. Clinical diagnosis of severe COVID-19: A derivation and validation of a prediction rule. World J Clin Cases 2021; 9(13): 2994-3007 [PMID: 33969085 DOI: 10.12998/wjcc.v9.i13.2994]
URL: https://www.wjgnet.com/2307-8960/full/v9/i13/2994.htm
Number Citing Articles
1
Ian Levenfus, Enrico Ullmann, Katja Petrowski, Jutta Rose, Lars C. Huber, Melina Stüssi-Helbling, Macé M. Schuurmans. The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized PatientsDiagnostics 2022; 12(3): 604 doi: 10.3390/diagnostics12030604
2
Rui‐kun Zhang, Qi Xiao, Sheng‐lang Zhu, Hai‐yan Lin, Ming Tang. Using different machine learning models to classify patients into mild and severe cases of COVID‐19 based on multivariate blood testingJournal of Medical Virology 2022; 94(1): 357 doi: 10.1002/jmv.27352
3
Shichang Sun, Ye Huang, Xinbo Yin. Using admission SpO2 and ROX index predict outcome in patients with COVID-19The American Journal of Emergency Medicine 2022; 56: 321 doi: 10.1016/j.ajem.2021.08.055
4
Anjali Pitamberwale, Tariq Mahmood, Azmat Kamal Ansari, Shabana Andleeb Ansari, Kirti Limgaokar, Lalit Singh, Geeta Karki. Biochemical Parameters as Prognostic Markers in Severely Ill COVID-19 PatientsCureus 2022;  doi: 10.7759/cureus.28594