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Reducing Workload in Systematic Review Preparation Using Automated Citation Classification
2 references·16 citing·44 second hop
Reducing Workload in Systematic Review Preparation Using Automated Citation Classification (2005)Reducing Workload in Systematic Review Pr…Developing Optimal Search Strategies for Detecting Clinically Sound Studies in MEDLINE (1994)Developing Optimal Search Str…The American Heritage Word Frequency Book (1973)The American Heritage Word Fr…Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? (2023)Can ChatGPT Write a Good Bool…Artificial intelligence to automate the systematic review of scientific literature (2023)Artificial intelligence to au…Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews (2021)Research Screener: a machine …SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation (2020)SWIFT-Active Screener: Accele…Error rates of human reviewers during abstract screening in systematic reviews (2020)Error rates of human reviewer…Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error (2019)Machine learning algorithms f…Prioritising references for systematic reviews with RobotAnalyst: A user study (2018)Prioritising references for s…Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach (2017)Identifying reports of random…SWIFT-Review: a text-mining workbench for systematic review (2016)SWIFT-Review: a text-mining w…Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015)Erratum to: Using text mining…Automating data extraction in systematic reviews: a systematic review (2015)Automating data extraction in…Titles versus titles and abstracts for initial screening of articles for systematic reviews (2013)Titles versus titles and abst…Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews (2013)Pinpointing needles in giant …A systematic review of methods for studying consumer health YouTube videos, with implications for systematic reviews (2013)A systematic review of method…Applications of text mining within systematic reviews (2011)Applications of text mining w…Semi-automated screening of biomedical citations for systematic reviews (2010)Semi-automated screening of b…Improving the quality of reporting of randomized controlled trials. The CONSORT statement (1996)The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews (2003)Towards Complete and Accurate Reporting of Studies of Diagnostic Accuracy: The STARD Initiative (2003)Frequency of data extraction errors and methods to increase data extraction quality: a methodological review (2017)Number of Response Options, Reliability, Validity, and Potential Bias in the Use of the Likert Scale Education and Social Science Research: A Literature Review (2022)The diffusion of innovations (1983)Methods for the thematic synthesis of qualitative research in systematic reviews (2008)Reducing systematic review workload through certainty-based screening (2014)Diffusion of Innovations 1 (2019)A scoping review of machine learning in psychotherapy research (2020)Effective Teacher Professional Development: New Theory and a Meta-Analytic Test (2023)Formulating Questions and Locating Primary Studies for Inclusion in Systematic Reviews (1997)Living systematic reviews: 2. 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(2010)An Introduction to Systematic Reviews (2013)Evidence & Gap Maps: A tool for promoting evidence informed policy and strategic research agendas (2016)The value of a second reviewer for study selection in systematic reviews (2019)Expediting systematic reviews: methods and implications of rapid reviews (2010)Scoping reviews: time for clarity in definition, methods, and reporting (2014)Cochrane Handbook for Systematic Reviews of Interventions (2008)Dissecting racial bias in an algorithm used to manage the health of populations (2019)An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes (2020)Cochrane Handbook for Systematic Reviews of Interventions (2020)Evaluating the effectiveness of large language models in abstract screening: a comparative analysis (2024)The SAFE procedure: a practical stopping heuristic for active learning-based screening in systematic reviews and meta-analyses (2024)The impact of patient, intervention, comparison, outcome (PICO) as a search strategy tool on literature search quality: a systematic review (2018)A full systematic review was completed in 2 weeks using automation tools: a case study (2020)Improving the translation of search strategies using the Polyglot Search Translator: a randomized controlled trial (2020)AI for social science and social science of AI: A survey (2024)How to search for literature in systematic reviews and meta-analyses: A comprehensive step-by-step guide (2024)Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain (2024)Optimal search strategies for retrieving scientifically strong studies of diagnosis from Medline: analytical survey (2004)Optimal search strategies for retrieving systematic reviews from Medline: analytical survey (2004)Optimal search strategies for retrieving scientifically strong studies of treatment from Medline: analytical survey (2005)Self-schemata and processing information about the self. (1977)Stereotypes and prejudice: Their automatic and controlled components. (1989)Early vocabulary growth: Relation to language input and gender. (1991)
this work references cited by second hop

References

  • 1973The American Heritage Word Frequency Book1,379 cited
  • 1994Developing Optimal Search Strategies for Detecting Clinically Sound Studies in MEDLINE763 cited

Cited by

  • 2015Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches353 cited
  • 2010Semi-automated screening of biomedical citations for systematic reviews351 cited
  • 2015Automating data extraction in systematic reviews: a systematic review286 cited
  • 2020Error rates of human reviewers during abstract screening in systematic reviews214 cited
  • 2011Applications of text mining within systematic reviews212 cited
  • 2023Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?205 cited
  • 2013Titles versus titles and abstracts for initial screening of articles for systematic reviews202 cited
  • 2016SWIFT-Review: a text-mining workbench for systematic review196 cited
  • 2021Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews190 cited
  • 2017Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach186 cited
  • 2019Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error185 cited

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2013
Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews
170 cited
  • 2023Artificial intelligence to automate the systematic review of scientific literature169 cited
  • 2020SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation157 cited
  • 2013A systematic review of methods for studying consumer health YouTube videos, with implications for systematic reviews151 cited
  • 2018Prioritising references for systematic reviews with RobotAnalyst: A user study148 cited