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)
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, Preprint
Mohammed, A; Podila, PSB; Davis, RL; Ataga, KI; Hankins, JS; Kamaleswaran, R
May 13, 2019
Duke Scholars
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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.