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The Scientific World Journal
Volume 2014 (2014), Article ID 859279, 10 pages
http://dx.doi.org/10.1155/2014/859279
Research Article

Cloud Based Metalearning System for Predictive Modeling of Biomedical Data

Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia

Received 20 December 2013; Accepted 21 January 2014; Published 14 April 2014

Academic Editors: R. Colomo-Palacios and V. Stantchev

Copyright © 2014 Milan Vukićević 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]

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

  • Selvaraj Rani Bhavani, Jagatheesan Senthilkumar, Arul Gnanaprakasam Chilambuchelvan, Dhanabalachandran Manjula, Ramasamy Krishnamoorthy, and Arputharaj Kannan, “CIMIDx: Prototype for a Cloud-Based System to Support Intelligent Medical Image Diagnosis With Efficiency,” JMIR Medical Informatics, vol. 3, no. 1, pp. e12, 2015. View at Publisher · View at Google Scholar
  • Zohreh Goli-Malekabadi, Morteza Sargolzaei-Javan, and Mohammad Kazem Akbari, “An effective model for store and retrieve big health data in cloud computing,” Computer Methods and Programs in Biomedicine, vol. 132, pp. 75–82, 2016. View at Publisher · View at Google Scholar
  • Wasif Altaf, Muhammad Shahbaz, and Aziz Guergachi, “Applications of association rule mining in health informatics: a survey,” Artificial Intelligence Review, 2016. View at Publisher · View at Google Scholar