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Adjutant: an R-based tool to support topic discovery for systematic and literature reviews.
Crisan, Anamaria; Munzner, Tamara; Gardy, Jennifer L.
Affiliation
  • Crisan A; Department of Computer Science, University of British Columbia, Vancouver, BC, Canada.
  • Munzner T; Department of Computer Science, University of British Columbia, Vancouver, BC, Canada.
  • Gardy JL; School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Bioinformatics ; 35(6): 1070-1072, 2019 03 15.
Article in En | MEDLINE | ID: mdl-30875428
ABSTRACT

SUMMARY:

Adjutant is an open-source, interactive and R-based application to support mining PubMed for literature reviews. Given a PubMed-compatible search query, Adjutant downloads the relevant articles and allows the user to perform an unsupervised clustering analysis to identify data-driven topic clusters. Following clustering, users can also sample documents using different strategies to obtain a more manageable dataset for further analysis. Adjutant makes explicit trade-offs between speed and accuracy, which are modifiable by the user, such that a complete analysis of several thousand documents can take a few minutes. All analytic datasets generated by Adjutant are saved, allowing users to easily conduct other downstream analyses that Adjutant does not explicitly support. AVAILABILITY AND IMPLEMENTATION Adjutant is implemented in R, using Shiny, and is available at https//github.com/amcrisan/Adjutant. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software Type of study: Systematic_reviews Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: Canada Country of publication: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software Type of study: Systematic_reviews Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: Canada Country of publication: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM