JMIR Publications Inc.
Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study (Preprint)
Preprints
Mohammed, A; Podila, PSB; Davis, RL; Ataga, KI; Hankins, JS; Kamaleswaran, R
May 13, 2019
Duke Scholars
Altmetric Attention Stats
Dimensions Citation Stats
Citation
APA
Chicago
ICMJE
MLA
NLM
Mohammed, A., Podila, P. S. B., Davis, R. L., Ataga, K. I., Hankins, J. S., & Kamaleswaran, R. (2019). Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study (Preprint). JMIR Publications Inc. https://doi.org/10.2196/preprints.14693
Mohammed, Akram, Pradeep S. B. Podila, Robert L. Davis, Kenneth I. Ataga, Jane S. Hankins, and Rishikesan Kamaleswaran. “Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study (Preprint).” JMIR Publications Inc., May 13, 2019. https://doi.org/10.2196/preprints.14693.
Mohammed A, Podila PSB, Davis RL, Ataga KI, Hankins JS, Kamaleswaran R. Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study (Preprint). JMIR Publications Inc. 2019.
Mohammed, Akram, et al. “Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study (Preprint).” JMIR Publications Inc., 13 May 2019. Crossref, doi:10.2196/preprints.14693.
Mohammed A, Podila PSB, Davis RL, Ataga KI, Hankins JS, Kamaleswaran R. Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study (Preprint). JMIR Publications Inc. 2019.