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The Scientific World Journal
Volume 2013 (2013), Article ID 769639, 8 pages
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 [7 citations]
The following is the list of published articles that have cited the current article.
- 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.
- Wei Li, Yapeng Li, Chunhong Hu, Xi Chen, and Hui Dai, “Point process analysis in brain Networks of Patients with diabetes,” Neurocomputing, 2014.
- 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.
- 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.
- 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.
- 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.
- Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, and Jordi Vitrià, “Generic feature learning for wireless capsule endoscopy analysis,” Computers in Biology and Medicine, 2016.