IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v48y2019icp228-237.html
   My bibliography  Save this article

Exploring adverse drug reactions of diabetes medicine using social media analytics and interactive visualizations

Author

Listed:
  • Li, Si
  • Yu, Chia-Hui
  • Wang, Yichuan
  • Babu, Yedurag

Abstract

The aim of this study is to propose an automatic and real-time social media analytics framework with interactive data visualizations to support effective exploration of knowledge about adverse drug reaction (ADR) surveillance. This proposed framework has been prototypically implemented on the basis of social media data. A longitudinal diabetes patient online community data (AskaPatient.com) as well as FDA Adverse Event Reporting Systems (FAERS) data as a benchmark were used to evaluate our proposed approach’s performance. Based on the results, our approach significantly increases the precision and accuracy for ADR extraction. The number of ADR cases, the time when the ADRs occurred, and the rating of Glucophage have been visualized that resulted by mining a collection of 870 ADRs posted in Askapatents.com over a certain time period (from 2001 to 2015). The results have important implications for pharmaceutical companies and hospitals wishing to monitor ADRs of medicines.

Suggested Citation

  • Li, Si & Yu, Chia-Hui & Wang, Yichuan & Babu, Yedurag, 2019. "Exploring adverse drug reactions of diabetes medicine using social media analytics and interactive visualizations," International Journal of Information Management, Elsevier, vol. 48(C), pages 228-237.
    • Handle: RePEc:eee:ininma:v:48:y:2019:i:c:p:228-237
    DOI: 10.1016/j.ijinfomgt.2018.12.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401217303456
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2018.12.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pilar Aparicio-Martinez & Alberto-Jesus Perea-Moreno & María Pilar Martinez-Jimenez & María Dolores Redel-Macías & Manuel Vaquero-Abellan & Claudia Pagliari, 2019. "A Bibliometric Analysis of the Health Field Regarding Social Networks and Young People," IJERPH, MDPI, vol. 16(20), pages 1-25, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:48:y:2019:i:c:p:228-237. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.