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The Scientific World Journal
Volume 2013 (2013), Article ID 769639, 8 pages
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 [6 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
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  • Juan Ródenas, Manuel García, Raúl Alcaraz, and José Rieta, “Wavelet Entropy Automatically Detects Episodes of Atrial Fibrillation from Single-Lead Electrocardiograms,” Entropy, vol. 17, no. 9, pp. 6179–6199, 2015. View at Publisher · View at Google Scholar
  • Keith Feldman, Darcy Davis, and Nitesh V. Chawla, “Scaling and Contextualizing Personalized Healthcare: A Case Study of Disease Prediction Algorithm Integration,” Journal of Biomedical Informatics, 2015. View at Publisher · View at Google Scholar
  • Ashwin Belle, Raghuram Thiagarajan, S. M. Reza Soroushmehr, Fatemeh Navidi, Daniel A. Beard, and Kayvan Najarian, “Big Data Analytics in Healthcare,” BioMed Research International, vol. 2015, pp. 1–16, 2015. View at Publisher · View at Google Scholar