five

Drug Indications Extracted from FAERS

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://zenodo.org/record/1435999
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains drug indications extracted from the FDA Adverse Event Reporting System (FAERS). Source code here: https://github.com/stuppie/faers Method Outline Data files are extracted from zip files, parsed from csvs, and imported into a MySQL database (see parser.py). Duplicate records are then de-duplicated by taking only the most recent version for each case ID (see dedupe.py). Indications are normalized by matching to UMLS terms by string matching. Cross-references to Human Phenotype Ontology are pulled from UMLS and xrefs to Monarch Disease Ontology (MONDO) are pulled from MONDO using the UMLS xrefs. (See normalize_indications.py) Drugs names are normalized first by applying a few simple string cleaning operations (strip, fix slashes and periods). Then they are attempted to be matched to rxnorm by exact string matching. Those that don't match are run against rxnorm's approximate matching service, and are accepted if the score is higher than 67/100. The matched rxnorm CUIs are then mapped to the their Ingredient level rxnorm ID. (See normalize_drugs.py) Indications are then retrieved for each drug ingredient and filtered to require a minimum of 20 individual occurances. (See get_indications.py)
创建时间:
2020-01-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作