Concepedia

Text Mining For Screening

Text Mining for Screening is a computational methodology within the domain of systematic review automation that distinguishes itself by employing natural language processing and machine learning techniques to identify, extract, and classify textual information from academic publications to support the initial screening of relevant studies.

62

Publications

4.4K

Citations

305

Authors

126

Institutions

Publications per year

2017–2026

43

Parents

Publications

62

An open source machine learning framework for efficient and transparent systematic reviews

Nature Machine Intelligence · 2021 · 1.1K citations · Full text

, , +16

Can large language models replace humans in systematic reviews? Evaluating <scp>GPT</scp>‐4's efficacy in screening and extracting data from peer‐reviewed and grey literature in multiple languages

Qusai Khraisha, S. Van Put, Johanna Kappenberg et al. · Research Synthesis Methods · 2024 · 197 citations · Full text

, , +15

SWIFT-Review: a text-mining workbench for systematic review

Brian E. Howard, Jason Phillips, Kyle J. Miller et al. · Systematic Reviews · 2016 · 191 citations · Full text

, , +16

Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach

Byron Wallace, Anna H Noel-Storr, Iain Marshall et al. · Journal of the American Medical Informatics Association · 2017 · 191 citations · Full text

, , +10

Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study

Eddie Guo, Mehul Gupta, Jiawen Deng et al. · Journal of Medical Internet Research · 2023 · 177 citations · Full text

, , +17

1–5 of 62

Authors

305

  1. JT
    James Thomas

    University College London, United Kingdom

    5 publications · 467 citations

    5

    h-index

  2. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    4 publications · 312 citations

    4

    h-index

  3. BK
    Babatunde Kazeem Olorisade

    University of Bristol, United Kingdom

    3 publications · 112 citations

    3

    h-index

  4. PB
    Pearl Brereton

    Keele University, United Kingdom

    3 publications · 112 citations

    3

    h-index

  5. CS
    Claire Stansfield

    University College London, United Kingdom

    2 publications · 75 citations

    2

    h-index

1–5 of 305

Institutions

126

  1. University College London

    London, United Kingdom

    6 h-index

    11 publications

    809 citations

  2. University of Manchester

    Manchester, United Kingdom

    4 h-index

    13 publications

    1.3K citations

  3. Keele University

    Newcastle-under-Lyme, United Kingdom

    3 h-index

    10 publications

    375 citations

  4. National Institutes of Health

    Bethesda, United States

    2 h-index

    6 publications

    999 citations

  5. Helmut Schmidt University

    Hamburg, Germany

    2 h-index

    4 publications

    144 citations

  6. University of North Carolina at Chapel Hill

    Chapel Hill, United States

    2 h-index

    5 publications

    283 citations

  7. University of Toronto

    Toronto, Canada

    2 h-index

    3 publications

    419 citations

  8. Harvard University

    Cambridge, United States

    2 h-index

    6 publications

    432 citations

1–8 of 126

Venues

  1. Research Synthesis Methods

    7 publications · 727 citations

    7

    h-index

  2. Systematic Reviews

    7 publications · 533 citations

    7

    h-index

  3. Journal of Biomedical Informatics

    4 publications · 147 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 29 citations

    2

    h-index

  5. Journal of the American Medical Informatics Association

    JAMIA · 2 publications · 236 citations

    2

    h-index

1–5