Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study
Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study
Akram Mohammed
1
, PhD ;
Pradeep S B Podila
2
, PhD, MHA, MS ;
Robert L Davis
1
, MD, MPH ;
Kenneth I Ataga
3
, MD ;
Jane S Hankins
4
, MD, MS ;
Rishikesan Kamaleswaran
5
, PhD
1
Center for Biomedical Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
2
Faith and Health Division, Methodist Le Bonheur Healthcare, Memphis, TN, United States
3
Center for Sickle Cell Disease, University of Tennessee Health Science Center, Memphis, TN, United States
4
Department of Hematology, St Jude Children's Research Hospital, Memphis, TN, United States
5
Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, United States
Corresponding Author:
-
Rishikesan Kamaleswaran, PhD
-
Department of Biomedical Informatics
-
Emory University School of Medicine
-
WMB, 101 Woodruff Circle, Suite 4127
-
Atlanta, GA, 30322
-
United States
-
Phone:
1 (901) 462-6908
-
Email: rkamaleswaran@emory.edu