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Journal of Healthcare Engineering
Volume 2, Issue 1, Pages 97-110
http://dx.doi.org/10.1260/2040-2295.2.1.97
Research Article

A Clinical Database-Driven Approach to Decision Support: Predicting Mortality Among Patients with Acute Kidney Injury

Leo Anthony G. Celi,1 Robin J. Tang,2 Mauricio C. Villarroel,3 Guido A. Davidzon,4 William T. Lester,5 and Henry C. Chueh5

1Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
2College of Physicians and Surgeons, Columbia University, New York, NY, USA
3Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
4Department of Radiology (Nuclear Medicine), Stanford University Medical Center, Stanford, CA, USA
5Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, USA

Received 1 January 2010; Accepted 1 November 2010

Copyright © 2011 Hindawi Publishing Corporation. 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.

Citations to this Article [15 citations]

The following is the list of published articles that have cited the current article.

  • Leo Anthony Celi, Sean Galvin, Guido Davidzon, Joon Lee, Daniel Scott, and Roger Mark, “A Database-driven Decision Support System: Customized Mortality Prediction,” Journal of Personalized Medicine, vol. 2, no. 4, pp. 138–148, 2012. View at Publisher · View at Google Scholar
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