bigbio/spl_adr_200db|药物不良反应数据集|文本挖掘数据集

---
language:
- en
bigbio_language:
- English
license: cc0-1.0
multilinguality: monolingual
bigbio_license_shortname: CC0_1p0
pretty_name: SPL ADR
homepage: https://bionlp.nlm.nih.gov/tac2017adversereactions/
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUATION
- RELATION_EXTRACTION
---

# Dataset Card for SPL ADR

## Dataset Description

- **Homepage:** https://bionlp.nlm.nih.gov/tac2017adversereactions/
- **Pubmed:** False
- **Public:** True
- **Tasks:** NER,NED,RE

The United States Food and Drug Administration (FDA) partnered with the National Library
of Medicine to create a pilot dataset containing standardised information about known
adverse reactions for 200 FDA-approved drugs. The Structured Product Labels (SPLs),
the documents FDA uses to exchange information about drugs and other products, were
manually annotated for adverse reactions at the mention level to facilitate development
and evaluation of text mining tools for extraction of ADRs from all SPLs. The ADRs were
then normalised to the Unified Medical Language System (UMLS) and to the Medical
Dictionary for Regulatory Activities (MedDRA).

## Citation Information

```
@article{demner2018dataset,
author = {Demner-Fushman, Dina and Shooshan, Sonya and Rodriguez, Laritza and Aronson,
Alan and Lang, Francois and Rogers, Willie and Roberts, Kirk and Tonning, Joseph},
title = {A dataset of 200 structured product labels annotated for adverse drug reactions},
journal = {Scientific Data},
volume = {5},
year = {2018},
month = {01},
pages = {180001},
url = {
https://www.researchgate.net/publication/322810855_A_dataset_of_200_structured_product_labels_annotated_for_adverse_drug_reactions
},
doi = {10.1038/sdata.2018.1}
}

```

原始信息汇总

数据集概述：SPL ADR

基本信息

• 语言： 英语
• 许可证： CC0-1.0
• 多语言性： 单语种
• 任务：
  • 命名实体识别 (NER)
  • 命名实体消歧 (NED)
  • 关系抽取 (RE)

数据集描述

• 主页： https://bionlp.nlm.nih.gov/tac2017adversereactions/
• 是否公开： 是
• 是否包含PubMed数据： 否

该数据集由美国食品药品监督管理局（FDA）与国家医学图书馆合作创建，包含200种FDA批准药物的已知不良反应的标准化信息。数据集中的结构化产品标签（SPL）文档经过手动标注，以促进从所有SPL中提取ADR的文本挖掘工具的开发和评估。ADR随后被规范化为统一医学语言系统（UMLS）和医疗词典监管活动（MedDRA）。

引用信息

@article{demner2018dataset, author = {Demner-Fushman, Dina and Shooshan, Sonya and Rodriguez, Laritza and Aronson, Alan and Lang, Francois and Rogers, Willie and Roberts, Kirk and Tonning, Joseph}, title = {A dataset of 200 structured product labels annotated for adverse drug reactions}, journal = {Scientific Data}, volume = {5}, year = {2018}, month = {01}, pages = {180001}, url = { https://www.researchgate.net/publication/322810855_A_dataset_of_200_structured_product_labels_annotated_for_adverse_drug_reactions }, doi = {10.1038/sdata.2018.1} }