Journal of Healthcare Engineering
Volume 2018, Article ID 7174803, 10 pages
https://doi.org/10.1155/2018/7174803
An Evolutionary Computation Approach for Optimizing Multilevel Data to Predict Patient Outcomes
1Department of Decision, Operations & Information Technologies, Robert H. Smith School of Business, University of Maryland, College Park, MD, USA
2Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
3Department of Emergency Medicine, Department of Civil Engineering, Johns Hopkins University, Baltimore, MD, USA
Correspondence should be addressed to Sean Barnes; ude.dmu.htimshr@senrabs
Received 26 August 2017; Accepted 31 January 2018; Published 18 March 2018
Academic Editor: Weide Chang
Copyright © 2018 Sean Barnes et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite this Article
Sean Barnes, Suchi Saria, and Scott Levin, “An Evolutionary Computation Approach for Optimizing Multilevel Data to Predict Patient Outcomes,” Journal of Healthcare Engineering, vol. 2018, Article ID 7174803, 10 pages, 2018. https://doi.org/10.1155/2018/7174803.