%0 Journal Article
%T Machine learning derivation of four computable 24-h pediatric sepsis phenotypes to facilitate enrollment in early personalized anti-inflammatory clinical trials
%A Qin, Yidi
%A Kernan, Kate F.
%A Fan, Zhenjiang
%A Park, Hyun-Jung
%A Kim, Soyeon
%A Canna, Scott W.
%A Kellum, John A.
%A Berg, Robert A.
%A Wessel, David
%A Pollack, Murray M.
%A Meert, Kathleen
%A Hall, Mark
%A Newth, Christopher
%A Lin, John C.
%A Doctor, Allan
%A Shanley, Tom
%A Cornell, Tim
%A Harrison, Rick E.
%A Zuppa, Athena F.
%A Banks, Russell
%A Reeder, Ron W.
%A Holubkov, Richard
%A Notterman, Daniel A.
%A Michael Dean, J.
%A Carcillo, Joseph A.
%J Critical Care
%V 26
%N 1
%D 2022-05-07
%I BioMed Central
%~ DeepDyve