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

Name: Data for: Use of Text-mining and Machine Learning Approaches to Conduct a Rapid Literature Survey on Environmental Chemicals and the Thyroid
Creator: Beruk Kiros
Published: 2017-08-04T13:58:54.946Z
Keywords: Thyroid Gland, Machine Learning, Text Mining

Kiros, Beruk; Zoeller, Robert; Holmgren, Stephanie; Bolden, Ashley; Thayer, Kristina; Pelch, Katherine; Baker, Nancy; Kwiatkowski, Carol; Howard, Brian; DeVito, Michael; Antonic, Ana; Cleland, Joshua; Walker, Vickie R.

doi:10.17632/cz5psm75sk.1

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

Published: 4 August 2017| Version 1 | DOI: 10.17632/cz5psm75sk.1

Contributors:

Beruk Kiros, Robert Zoeller, Stephanie Holmgren, Ashley Bolden, Kristina Thayer, Katherine Pelch, Nancy Baker, Carol Kwiatkowski, Brian Howard, Michael DeVito, Ana Antonic, Joshua Cleland, Vickie R. Walker

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" 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/)

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

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