Open Access
ITM Web Conf.
Volume 42, 2022
1st International Conference on Applied Computing & Smart Cities (ICACS21)
Article Number 01013
Number of page(s) 7
Published online 24 February 2022
  1. C. Manningm, P. Raghavan, and H. Schütze, Book Review: Introduction to Information Retrieval, Natural Language Engineering, vol. 16, no. 1, pp.100-103 (2010). [CrossRef] [Google Scholar]
  2. C. Smith, Information retrieval in medicine: The electronic medical record as a new domain, Proceedings of the American society for information science and technology, vol. 43, no. 1, pp. 1-30 (2006). [Google Scholar]
  3. K. Häyrinen, K. Saranto, and P. Nykänen, Definition, structure, content, use and impacts of electronic health records: a review of the research literature, International journal of medical informatics, vol. 77, no. 5, pp. 291-304 (2008). [CrossRef] [Google Scholar]
  4. J. Denny, H. Xu, Chapter 12-linking genomic and clinical data for discovery and personalized care, methods in Biomedical Informatics, Sarkar IN, ed. Oxford: Academic Press, pp. 395-424 (2014). [Google Scholar]
  5. S. Dumais, Latent semantic analysis, Annual review of information science and technology, vol. 38, no. 1, pp.188-230 (2004). [Google Scholar]
  6. J. Shanahan and L. Dai, Large scale distributed data science using apache spark, In Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 2323-2324 (2015). [CrossRef] [Google Scholar]
  7. A. Khumoyun, Y. Cui, and L. Hanku, Spark based distributed deep learning framework for big data applications, In 2016 International Conference on Information Science and Communications Technologies (ICISCT), IEEE, pp. 1-5, (2016). [Google Scholar]
  8. A. Yousefi, N. Mastouri, and K. Sartipi, Scenario-oriented information extraction from electronic health records, In 2009 22nd IEEE International Symposium on ComputerBased Medical Systems, IEEE, pp. 1-5 (2009). [Google Scholar]
  9. M. Popescu, An ontological fuzzy Smith-Waterman with applications to patient retrieval in Electronic Medical Records, In International Conference on Fuzzy Systems, IEEE, pp. 1-6 (2010). [Google Scholar]
  10. A. Traina, N. Rosa, and C. Traina, Integrating images to patient electronic medical records through content-based retrieval techniques, In 16th IEEE Symposium Computer-Based Medical Systems, Proceedings., IEEE, pp. 163-168 (2003). [CrossRef] [Google Scholar]
  11. H. Jain, C. Thao, and H. Zhao, Enhancing electronic medical record retrieval through semantic query expansion, Information systems and e-business management, vol.10, no. 2, pp. 165-181 (2012). [CrossRef] [Google Scholar]
  12. M. Gubanov and A. Pyayt, MEDREADFAST: A structural information retrieval engine for big clinical text, In 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI), IEEE, pp. 371-376. (2012). [Google Scholar]
  13. C. Pruski and F. Wisniewski, fficient medical information retrieval in encrypted electronic health records, In Quality of Life through Quality of Information, IOS Press, pp. 225-229 (2012). [Google Scholar]
  14. N. Yadav, and C. Poellabauer, An architecture for personalized health information retrieval, In Proceedings of the 2012 international workshop on Smart health and wellbeing, pp. 41-48 (2012). [CrossRef] [Google Scholar]
  15. D. Zhu, S. Wu, J. Masanz, B. Carterette, and H. Liu, Using Discharge Summaries to Improve Information Retrieval in Clinical Domain, In CLEF (Working Notes), (2013). [Google Scholar]
  16. M. Al-Qahtani, A. Amira, and N. Ramzan, An efficient information retrieval technique for e-health systems, In 2015 International Conference on Systems, Signals and Image Processing (IWSSIP), IEEE, pp. 257-260 (2015). [CrossRef] [Google Scholar]
  17. R. Hammad and M. Banikhalaf, A parallel approach for managing XML-based electronic medical records, In 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), IEEE, pp. 1-5 (2018). [Google Scholar]
  18. U. Parali, M. Zontul, and D. Ertugrul, Information Retrieval Using the Reduced Row Echelon Form of a Term-Document Matrix, Journal of Internet Technology, vol. 20, no. 4, pp. 1037-1046 (2019). [Google Scholar]
  19. M. Karim, R. Sahay, and D. Rebholz-Schuhmann, A scalable, secure and realtime healthcare analytics framework with Apache Spark.” In Proc. of the 2nd INSIGHT student conference on Data Analytics, The Insight Centre for Data Analytics, pp. 83-83 (2015). [Google Scholar]
  20. M. Al-Qahtani, A. Amira, and N. Ramzan, Enhancing the efficiency of information retrieval in e-health systems, In 2015 British Computer Society Health Informatics Scotland Conference, (2015). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.