Use of Text-mining and Machine Learning Approaches to Conduct a Rapid Literature Survey on Environmental Chemicals and the Thyroid

This data set contains supplemental SWIFT-Review file for the article "Use of Text-mining and Machine Learning Approaches to Conduct a Rapid Literature Survey on Environmental Chemicals and the Thyroid" (Kiros et al., EI 2017) SWIFT-Review_Thyroid Literature Database.stp contains: 235,960 records identified in PubMed with ability to filter records by type of evidence: publication type, chemicals studied, evidence streams (human, animal, in vitro) and thyroid endpoints/outcomes. This file can be opened and explored after installing SWIFT-Review software https://swift.sciome.com/SWIFTupdates/Tutorial/Installation Instructions.pdf. The software is available for free download at (http://www.sciome.com/swift-review/)本数据集为论文《使用文本挖掘与机器学习方法开展环境化学品与甲状腺相关领域快速文献调研》（Kiros 等人，EI 2017）的补充SWIFT-Review文件。其中SWIFT-Review_Thyroid Literature Database.stp 文件收录了从PubMed数据库中检索得到的235,960条文献记录，支持按证据类型对记录进行筛选，筛选维度包括文献类型、研究涉及的化学品、证据来源类别（人类研究、动物实验、体外实验）以及甲状腺相关终点/结局。该文件需安装SWIFT-Review软件后方可打开并浏览，软件安装指南可参考链接：https://swift.sciome.com/SWIFTupdates/Tutorial/Installation Instructions.pdf。该软件可通过http://www.sciome.com/swift-review/ 免费获取。