Data from Testing a filtering strategy for systematic reviews: Evaluating work savings and recall

Proescholdt, Randi; Hsiao, Tzu-Kun; Schneider, Jodi; Cohen, Aaron; McDonagh, Marian; Smalheiser, Neil

doi:10.13012/B2IDB-9257002_V1

Illinois Data Bank - Dataset

Data from Testing a filtering strategy for systematic reviews: Evaluating work savings and recall

Cite this dataset:

Proescholdt, Randi; Hsiao, Tzu-Kun; Schneider, Jodi; Cohen, Aaron; McDonagh, Marian; Smalheiser, Neil (2022): Data from Testing a filtering strategy for systematic reviews: Evaluating work savings and recall. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9257002_V1

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Dataset Description	This dataset contains the files used to perform the work savings and recall evaluation in the study titled "Data from Testing a filtering strategy for systematic reviews: Evaluating work savings and recall."
Subject	Social Sciences
Keywords	systematic reviews; machine learning; work savings; recall; search results filtering
License	CC BY
Funder	U.S. National Institutes of Health (NIH)-Grant:5R01LM010817
Corresponding Creator	Jodi Schneider
Downloaded	331 times
Related Materials (2) Code Python scripts used to produce data Article Randi Proescholdt, Tzu-Kun Hsiao, Jodi Schneider, Aaron M. Cohen, Marian S. McDonagh, Neil R. Smalheiser. “Testing a filtering strategy for systematic reviews: evaluation work savings and recall”. AMIA Informatics Summit 2022.

Versions

Version	DOI	Comment	Publication Date
1	10.13012/B2IDB-9257002_V1		2022-02-20

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SupplementaryData.zip 14.8 MB File

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