Early inflammatory profiles predict maximal disease severity in COVID-19: An unsupervised cluster analysis

MLA

Grace Kenny, et al. “Early Inflammatory Profiles Predict Maximal Disease Severity in COVID-19: An Unsupervised Cluster Analysis.” Heliyon, vol. 10, no. 15, Aug. 2024. EBSCOhost, https://doi.org/10.1016/j.heliyon.2024.e34694.

APA

Grace Kenny, Gurvin Saini, Colette Marie Gaillard, Riya Negi, Dana Alalwan, Alejandro Garcia Leon, Kathleen McCann, Willard Tinago, Christine Kelly, Aoife G. Cotter, Eoghan de Barra, Mary Horgan, Obada Yousif, Virginie Gautier, Alan Landay, Danny McAuley, Eoin R. Feeney, Cecilia O’Kane, & Patrick WG. Mallon. (2024). Early inflammatory profiles predict maximal disease severity in COVID-19: An unsupervised cluster analysis. Heliyon, 10(15). https://doi.org/10.1016/j.heliyon.2024.e34694

Chicago

Grace Kenny, Gurvin Saini, Colette Marie Gaillard, Riya Negi, Dana Alalwan, Alejandro Garcia Leon, Kathleen McCann, et al. 2024. “Early Inflammatory Profiles Predict Maximal Disease Severity in COVID-19: An Unsupervised Cluster Analysis.” Heliyon 10 (15). doi:10.1016/j.heliyon.2024.e34694.