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Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14693, first published .
Nurse uses vein finder to locate vein for IV infusion in patient's arm

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