Usefulness of machine learning softwares to screen titles of systematic reviews: a methodological study
Abstract Objective To investigate the usefulness and performance metrics of three freely-available softwares (Rayyan®, Abstrackr® and Colandr®) for title screening in systematic reviews. Study design and setting In this methodological study, the usefulness of softwares to screen titles in systematic...
Main Authors: | Ana Helena Salles dos Reis, Ana Luiza Miranda de Oliveira, Carolina Fritsch, James Zouch, Paulo Ferreira, Janaine Cunha Polese |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-04-01
|
Series: | Systematic Reviews |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13643-023-02231-3 |
Similar Items
-
Evaluating the adoption of handsearching, citation chasing, and screening tools in education research: a survey study
by: Qiyang Zhang, et al.
Published: (2024-11-01) -
Citation Statements Practices and the Role of an Assistive Tool
by: Sorana D. BOLBOACĂ
Published: (2024-03-01) -
Title-plus-abstract versus title-only first-level screening approach: a case study using a systematic review of dietary patterns and sarcopenia risk to compare screening performance
by: Lynn Teo, et al.
Published: (2023-11-01) -
What Are the Drivers of Citations?: Application in Tourism and Hospitality Journals
by: Eunhye Park, et al.
Published: (2021-10-01) -
Mapping the research trends of migration behavior in agricultural households: a bibliometric analysis
by: Sushmita Saini, et al.
Published: (2023-10-01)