Words_Selected_by_Information_Gain

  • Xiaoru Dong (Creator)
  • Jingyi Xie (Creator)
  • Linh Hoang (Creator)

Dataset

Description

File Name: WordsSelectedByInformationGain.csv
Data Preparation: Xiaoru Dong, Linh Hoang
Date of Preparation: 2018-12-12
Data Contributions: Jingyi Xie, Xiaoru Dong, Linh Hoang
Data Source: Cochrane systematic reviews published up to January 3, 2018 by 52 different Cochrane groups in 8 Cochrane group networks.
Associated Manuscript authors: Xiaoru Dong, Jingyi Xie, Linh Hoang, and Jodi Schneider.
Associated Manuscript, Working title: Machine classification of inclusion criteria from Cochrane systematic reviews.

Description: the file contains a list of 1655 informative words selected by applying information gain feature selection strategy.
Information gain is one of the methods commonly used for feature selection, which tells us how many bits of information the presence of the word are helpful for us to predict the classes, and can be computed in a specific formula [Jurafsky D, Martin JH. Speech and language processing. London: Pearson; 2014 Dec 30].We ran Information Gain feature selection on Weka -- a machine learning tool.

Notes: In order to reproduce the data in this file, please get the code of the project published on GitHub at: https://github.com/XiaoruDong/InclusionCriteria and run the code following the instruction provided.
Date made availableDec 20 2018
PublisherUniversity of Illinois at Urbana-Champaign

Keywords

  • Systematic reviews
  • Machine learning
  • Inclusion criteria
  • Randomized controlled trials

Cite this

Dong, X. (Creator), Xie, J. (Creator), Hoang, L. (Creator) (Dec 20 2018). Words_Selected_by_Information_Gain. University of Illinois at Urbana-Champaign. 10.13012/B2IDB-9837167_V1