Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 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 [6 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
  • Manish Kumar Pandey, and Karthikeyan Subbiah, “A novel storage architecture for facilitating efficient analytics of health informatics big data in cloud,” Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016, pp. 578–585, 2017. View at Publisher · View at Google Scholar
  • Hend Ibrahim Shousha, Abubakr Hussein Awad, Dalia Abdelhamid Omran, Mayada Mohamed Elnegouly, and Mahasen Mabrouk, “Data mining machine learning algorithms using IL28B genotype and biochemical markers best predicted advanced liver fibrosis in chronic HCV,” Japanese Journal of Infectious Diseases, 2017. View at Publisher · View at Google Scholar
  • Vivek Navale, and Philip E. Bourne, “Cloud computing applications for biomedical science: A perspective,” PLOS Computational Biology, vol. 14, no. 6, pp. e1006144, 2018. View at Publisher · View at Google Scholar