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---
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},
}
```
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