asus-aics/psytar
收藏资源简介：
PsyTAR（Psychiatric Treatment Adverse Reactions）数据集包含了891条患者发布于askapatient.com的药物评论，主要涉及Zoloft、Lexapro、Cymbalta和Effexor XR等药物的有效性和不良反应。该数据集可用于（多标签）句子分类，包括药物不良反应（ADR）、戒断症状（WDs）、体征/症状/疾病（SSIs）、药物适应症（DIs）、药物有效性（EF）、药物无效性（INF）以及其他类别，同时也可用于识别5种不同类型的命名实体（类别包括ADRs、WDs、SSIs和DIs）。
PsyTAR (Psychiatric Treatment Adverse Reactions) dataset contains 891 medication reviews posted by patients on askapatient.com, mainly focusing on the efficacy and adverse reactions of medications including Zoloft, Lexapro, Cymbalta and Effexor XR. This dataset can be applied to (multi-label) sentence classification tasks, covering categories such as adverse drug reactions (ADRs), withdrawal symptoms (WDs), signs/symptoms/illnesses (SSIs), drug indications (DIs), drug efficacy (EF), drug ineffectiveness (INF) and other categories. It can also be used to identify 5 distinct types of named entities, with the categories including ADRs, WDs, SSIs and DIs.
数据集概述
数据集描述
- 名称: PsyTAR
- 语言: 英语
- 许可: CC BY 4.0
- 多语言性: 单语种
- 任务类型: 命名实体识别、文本分类
- 主页: https://www.askapatient.com/research/pharmacovigilance/corpus-ades-psychiatric-medications.asp
- 是否公开: 否
- 是否在PubMed上: 否
PsyTAR数据集包含891条患者在"askapatient.com"上发布的关于Zoloft、Lexapro、Cymbalta和Effexor XR的药物评论，涉及药物的有效性和不良药物事件。
该数据集可用于不良药物反应（ADR）、戒断症状（WDs）、症状/疾病（SSIs）、药物适应症（DIs）、药物有效性（EF）、药物感染性（INF）和其他方面的多标签句子分类，以及识别五种不同类型的命名实体（在ADRs、WDs、SSIs和DIs类别中）。
引用信息
@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}, }
