metadata

language:
  - en
license: cc-by-4.0
license_bigbio_shortname: CC_BY_4p0
pretty_name: PsyTAR

Dataset Card for PsyTAR

Dataset Description

Homepage: https://www.askapatient.com/research/pharmacovigilance/corpus-ades-psychiatric-medications.asp
Pubmed: False
Public: False
Tasks: Named Entity Recognition, Text Classification

The "Psychiatric Treatment Adverse Reactions" (PsyTAR) dataset contains 891 drugs reviews posted by patients on "askapatient.com", about the effectiveness and adverse drug events associated with Zoloft, Lexapro, Cymbalta, and Effexor XR.

This dataset can be used for (multi-label) sentence classification of Adverse Drug Reaction (ADR), Withdrawal Symptoms (WDs), Sign/Symptoms/Illness (SSIs), Drug Indications (DIs), Drug Effectiveness (EF), Drug Infectiveness (INF) and Others, as well as for recognition of 5 different types of named entity (in the categories ADRs, WDs, SSIs and DIs)

Citation Information

@article{Zolnoori2019,
  author    = {Maryam Zolnoori and
               Kin Wah Fung and
               Timothy B. Patrick and
               Paul Fontelo and
               Hadi Kharrazi and
               Anthony Faiola and
               Yi Shuan Shirley Wu and
               Christina E. Eldredge and
               Jake Luo and
               Mike Conway and
               Jiaxi Zhu and
               Soo Kyung Park and
               Kelly Xu and
               Hamideh Moayyed and
               Somaieh Goudarzvand},
  title     = {A systematic approach for developing a corpus of patient                reported adverse drug events: A case study for {SSRI} and {SNRI} medications},
  journal   = {Journal of Biomedical Informatics},
  volume    = {90},
  year      = {2019},
  url       = {https://doi.org/10.1016/j.jbi.2018.12.005},
  doi       = {10.1016/j.jbi.2018.12.005},
}