Comparing Machine Learning Screening Approaches Using Clinical Data and Cytokine Profiles for COVID-19 in Resource-Limited and Resource-Abundant Settings.

Hooman H. Rashidi,Aamer Ikram,Luke T. Dang,Adnan Bashir,Tanzeel Zohra,Amna Ali, Hamza Tanvir, Mohammad Mudassar,Resmi Ravindran,Nasim Akhtar, Rana I. Sikandar, Mohammed Umer, Naeem Akhter, Rafi Butt, Brandon D. Fennell,Imran H. Khan

Scientific Reports（2024）

引用 1|浏览10

关键词

COVID-19,Cytokines,Chemokines,Binary classifier,Machine learning,FGF basic (FGF2),Eotaxin (CCL11),G-CSF (CSF3),GM-CSF (CSF2),IFN-gamma (IFNG),IL-1 beta (IL1B),IL-1ra (IL1RN),IL-1 alpha (IL1A),IL-2R alpha (IL2RA),IL3,IL-12 (p40) (IL12B),IL16,IL2,IL4,IL5,IL6,IL7,IL8 (CXCL8),IL9,GRO-alpha (CXCL1),HGF,IFN-alpha 2 (IFNA2),LIF,MCP-3 (CCL7),IL10,IL-12 (p70) (IL12A),IL13,IL15,IL17A,IP-10 (CXCL10),MCP-1 (MCAF) (CCL2),MIG (CXCL9),beta-NGF (NGF),SCF (KITLG),SCGF-beta (CLEC11A),SDF-1 alpha (CXCL12),MIP-1 alpha (CCL3),MIP-1 beta (CCL4),PDGF-BB (PDGFB),RANTES (CCL5),TNF-alpha,VEGF (VEGFA),CTACK (CCL27),MIF,TRAIL (TNFSF10),IL-18 (IL18),M-CSF (CSF1),TNF-beta (LTA)

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