Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction.

Journal: BMC bioinformatics
Published Date: Jun 13, 2018

Abstract

BACKGROUND: Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance. We study the problem of extraction of Adverse-Drug-Reaction (ADR) mentions from social media, particularly from Twitter. Medical information extraction from social media is challenging, mainly due to short and highly informal nature of text, as compared to more technical and formal medical reports.

Authors

  • Shashank Gupta
    Information Retrieval and Extraction Laboratory, Kohli Center for Intelligent Systems, International Institute of Information Technology, Hyderabad, India. shashank.gupta@research.iiit.ac.in.
  • Sachin Pawar
    Tata Consultancy Services (TCS) Research, 54-B, Hadapsar Industrial Area, Pune, India.
  • Nitin Ramrakhiyani
    Information Retrieval and Extraction Laboratory, Kohli Center for Intelligent Systems, International Institute of Information Technology, Hyderabad, India.
  • Girish Keshav Palshikar
    Tata Consultancy Services (TCS) Research, 54-B, Hadapsar Industrial Area, Pune, India.
  • Vasudeva Varma
    Information Retrieval and Extraction Laboratory, Kohli Center for Intelligent Systems, International Institute of Information Technology, Hyderabad, India.

Keywords

External Resources

Popular Topics
Recent Journals