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The Scientific World Journal
Volume 2013 (2013), Article ID 769639, 8 pages
http://dx.doi.org/10.1155/2013/769639
Review Article

Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey

1Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA
2Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA

Received 30 November 2012; Accepted 9 January 2013

Academic Editors: J. Bajo, Y. Cai, and J. B. T. Rocha

Copyright © 2013 Ashwin Belle 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.

Citations to this Article [3 citations]

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  • A.V. Lebedev, E. Westman, G.J.P. Van Westen, M.G. Kramberger, A. Lundervold, D. Aarsland, H. Soininen, I. Kłoszewska, P. Mecocci, M. Tsolaki, B. Vellas, S. Lovestone, and A. Simmons, “Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness,” NeuroImage: Clinical, 2014. View at Publisher · View at Google Scholar
  • Wei Li, Yapeng Li, Chunhong Hu, Xi Chen, and Hui Dai, “Point process analysis in brain Networks of Patients with diabetes,” Neurocomputing, 2014. View at Publisher · View at Google Scholar
  • D. K. Iakovidis, T. Goudas, C. Smailis, and I. Maglogiannis, “Ratsnake: A Versatile Image Annotation Tool with Application to Computer-Aided Diagnosis,” Scientific World Journal, 2014. View at Publisher · View at Google Scholar