Deep learning for pollen allergy surveillance from twitter in Australia.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media platform is used for data collection as cost-effective and unobtrusive alternative for public health monitoring to complement the traditional survey-based approaches.

Authors

  • Jia Rong
    Institute for Sustainable Industries & Liveable Cities, Victoria University, Ballarat Road, Melbourne, 3011, Australia.
  • Sandra Michalska
    Institute for Sustainable Industries & Liveable Cities, Victoria University, Ballarat Road, Melbourne, 3011, Australia. sandra.michalska@live.vu.edu.au.
  • Sudha Subramani
    Institute for Sustainable Industries & Liveable Cities, Victoria University, Ballarat Road, Melbourne, 3011, Australia.
  • Jiahua Du
    Institute for Sustainable Industries & Liveable Cities, Victoria University, Ballarat Road, Melbourne, 3011, Australia.
  • Hua Wang
    Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.