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

Published: 24-07-2017| Version 1 | DOI: 10.17632/6v2db93j29.1
Contributor:
Beruk Kiros

Description

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/)

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