@inproceedings{879a0effe4794141be622f0483ed30bf,
title = "Review of trends in health social media analysis",
abstract = "This paper surveys recent publications (2008-2017) on using social media data to study public health. The survey describes the main topics being discussed in forums and presents short information about methods and tools used for analysis health social media. We put especial attention on adverse drug reaction detection problem (ADR).",
keywords = "adverse drug reactions, deep learning, Health social media, review",
author = "Liliya Akhtyamova and Mikhail Alexandrov and John Cardiff",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2017 ; Conference date: 05-09-2017 Through 08-09-2017",
year = "2017",
month = nov,
day = "6",
doi = "10.1109/STC-CSIT.2017.8098818",
language = "English",
series = "Proceedings of the 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "413--416",
booktitle = "Proceedings of the 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2017",
address = "United States",
}