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Journal of Healthcare Engineering
Volume 2, Issue 1, Pages 55-74
http://dx.doi.org/10.1260/2040-2295.2.1.55
Research Article

Interpretable Predictive Models for Knowledge Discovery from Home-Care Electronic Health Records

Bonnie L. Westra,1 Sanjoy Dey,2 Gang Fang,2 Michael Steinbach,2 Vipin Kumar,2 Cristina Oancea,3 Kay Savik,1 and Mary Dierich1

1School of Nursing, University of Minnesota, Minneapolis, MN 55455, USA
2Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA
3School of Public Health, Division of Environmental Health Sciences, University of Minnesota, Minneapolis, MN 55455, USA

Received 1 June 2010; Accepted 1 December 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 [6 citations]

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

  • Farri, Monsen, Melton, and Westra, “Analysis of free text with Omaha system targets in community-based care to inform practice and terminology development,” Applied Clinical Informatics, vol. 2, no. 3, pp. 304–316, 2011. View at Publisher · View at Google Scholar
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  • Pranjul Yadav, Michael Steinbach, Vipin Kumar, and Gyorgy Simon, “Mining Electronic Health Records (EHRs),” ACM Computing Surveys, vol. 50, no. 6, pp. 1–40, 2018. View at Publisher · View at Google Scholar