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Published in:   Vol. 5 Issue 1 Date of Publication:   June 2016

A Survey on Adverse Drug Reactions analysis in Social Media data with Big data and Hadoop

A.Poongodi,Latha Parthiban

Page(s):   09-12 ISSN:   2278-2397
DOI:   10.20894/IJWT.104.005.001.002 Publisher:   Integrated Intelligent Research (IIR)


  1. S.Yelewarapu, A.Rao, T.Joseph,VG Sipradeep, R.Srinivasan,   "A pipeline to extract drug-adverse event pairs from multiple data sources",   BMC Med Inform Decision Making   ,2014
    View Artical

  2. M.K.Ross, Wei Wei, L.Ohno-Machado,   "Big Data",   The Electronic Health Record. IMIA Division of Bio   ,2014
    View Artical

  3. S.Harshawardhan, L.Bhosale, Prof P.Devendra, Gadekar,   "A Review Paper on Big Data and Hadoop",   International Journal of Scientific and Research P   ,Vol.4   ,Issue 10   ,2014
    View Artical

  4. Emad A Mohammed, H.Behrouz Far and Christopher Naugler,   "Applications of the MapReduce Programming framework to clinical big data analysis: current landscape",   Bio data mining   ,2014
    View Artical

  5. Robert Leaman, Laura Wojtulewicz, Ryan Sullivan et al,   "Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts to Health ",   workshop on Biomedical Natural Language Processing   ,2010
    View Artical

  6. F.Martin-Sanchez and K.Verspoor,   "Big Data in Medicine is Driving Big Changes",   IMIA and Schattaover GmbH   ,2014
    View Artical

  7. Harpaz, Rave et al,   "Text Mining for Adverse Drug Events: The Promise, Challenges and State of the Art",   Drug safety: An International Journal of medical t   ,2014
    View Artical

  8. Dr.Smitha Rao et al,   "Security Solutions for Big Data Analytics in Healthcare",   International Conference on Advances in Computing    ,2015
    View Artical

  9. Ming Yanga et al,   "Filtering big data from social media-Building an early warning system for adverse drug reactions",   Journal of Biomedical Informatics   ,Vol.54   ,2015
    View Artical

  10. Abeed Sarker et al,   "Utilizing social media data for Pharmacovigilance: A Review",   Journal of Biomedical Informatics   ,2015
    View Artical

  11. Tao Huang,   "Promises and Challenges of Big Data Computing in Health sciences",   Big Data Research   ,2015
    View Artical

  12. Y.Demchenko, Z.Zhao, P.Grosso, A.Wibisono, C de laat,   "Addressing Big Data Challenges for Scientific Data",   IEEE Computing Society
    View Artical

  13. M.K.Ross, Wei Wei, L.Ohno-Machado,   "Big Data",   The Electronic Health Record. IMIA Division of Bio   ,Vol.33   ,Issue 1   ,2014
    View Artical

  14. S.Harshawardhan, L.Bhosale, Prof P.Devendra, Gadekar,   "A Review Paper on Big Data and Hadoop",   International Journal of Scientific and Research P   ,Vol.4   ,Issue 10   ,2014
    View Artical

  15. Emad A Mohammed, H.Behrouz Far and Christopher Naugler,   "Applications of the MapReduce Programming framework to clinical big data analysis: current landscape",   Bio data mining   ,Vol.    ,2014
    View Artical

  16. Robert Leaman, Laura Wojtulewicz, Ryan Sullivan et al,   "Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts to Health ",   workshop on Biomedical Natural Language Processing   ,Vol.    ,2010
    View Artical

  17. F.Martin-Sanchez and K.Verspoor,   "Big Data in Medicine is Driving Big Changes",   IMIA and Schattaover GmbH   ,Vol.9   ,Issue 1   ,2014
    View Artical

  18. Harpaz, Rave et al,   "Text Mining for Adverse Drug Events: The Promise, Challenges and State of the Art",   Drug safety: An International Journal of medical t   ,Vol.37   ,Issue 10   ,2014
    View Artical

  19. Dr.Smitha Rao et al,   "Security Solutions for Big Data Analytics in Healthcare",   International Conference on Advances in Computing    ,Vol.9   ,Issue 4   ,2015
    View Artical

  20. Ming Yanga et al,   "Filtering big data from social media-Building an early warning system for adverse drug reactions",   Journal of Biomedical Informatics   ,Vol.54   ,2015
    View Artical

  21. Abeed Sarker et al,   "Utilizing social media data for Pharmacovigilance: A Review",   Journal of Biomedical Informatics   ,Vol.54   ,2015
    View Artical

  22. Tao Huang,   "Promises and Challenges of Big Data Computing in Health sciences",   Big Data Research   ,Vol.2   ,Issue 1   ,2015
    View Artical

  23. Y.Demchenko, Z.Zhao, P.Grosso, A.Wibisono, C de laat,   "Addressing Big Data Challenges for Scientific Data",   IEEE Computing Society   ,Vol.
    View Artical

  24. S.Yelewarapu, A.Rao, T.Joseph,VG Sipradeep, R.Srinivasan,   "A pipeline to extract drug-adverse event pairs from multiple data sources",   BMC Med Inform Decision Making   ,Vol.    ,2014
    View Artical

  25. S.Harshawardhan, L.Bhosale, Prof P.Devendra, Gadekar,   "A Review Paper on Big Data and Hadoop",   International Journal of Scientific and Research P   ,Vol.4   ,Issue 10   ,2014
    View Artical

  26. Robert Leaman, Laura Wojtulewicz, Ryan Sullivan et al,   "Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts to Health ",   workshop on Biomedical Natural Language Processing   ,Vol.    ,2010
    View Artical

  27. Dr.Smitha Rao et al,   "Security Solutions for Big Data Analytics in Healthcare",   International Conference on Advances in Computing    ,Vol.9   ,Issue 4   ,2015
    View Artical