Profiling Covid-19 patients with respect to level of severity: an integrated statistical approach.

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作者： Federica,Cugnata ^[1] ; Maria Giovanna,Scarale ^[1] ; Rebecca,De Lorenzo ^[2] ; Marco,Simonini ^[3] ; Lorena,Citterio ^[4] ; Patrizia Rovere,Querini ^[4] ; Antonella,Castagna ^[2] ; Clelia,Di Serio ^[3] ; Chiara,Lanzani ^[2]

作者单位： University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy. ^[1] School of Medicine, Vita-Salute San Raffaele University, Milan, Italy. ^[2] Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy. ^[3] Nephrology and Dialysis Unit, Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. ^[4] University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy. diserio.clelia@hsr.it. ^[5] Biomedical Faculty, Università Della Svizzera Italiana, Lugano, Switzerland. diserio.clelia@hsr.it. ^[6]

主题词人类(Humans);老年人(Aged);医院死亡率(Hospital Mortality);贝叶斯定理(Bayes Theorem);肌酸酐(Creatinine)

DOI 10.1038/s41598-023-32089-3

PMID 37015962

发布时间 2023-04-19

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