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AI-aided Systematic Review to Create a Database with Potentially Relevant Papers on Depression, Anxiety, and Addiction
10 references·2 citing·44 second hop
AI-aided Systematic Review to Create a Database with Potentially Relevant Papers on Depression, Anxiety, and Addiction (2022)AI-aided Systematic Review to Create a Da…An open source machine learning framework for efficient and transparent systematic reviews (2021)An open source machine learni…An open source machine learning framework for efficient and transparent systematic reviews (2021)An open source machine learni…Software tools to support title and abstract screening for systematic reviews in healthcare: an evaluation (2020)Software tools to support tit…Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources (2019)Which academic search systems…Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis (2018)Is your dataset big enough? S…Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry (2017)Analysis of the time and work…De-duplication of database search results for systematic reviews in EndNote (2016)De-duplication of database se…De-duplication of database search results for systematic reviews in EndNote (2016)De-duplication of database se…The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013 (2014)The global prevalence of comm…Searching for Studies (2008)Searching for StudiesThe hunt for the last relevant paper: blending the best of humans and AI (2025)The hunt for the last relevan…The SAFE Procedure: A Practical Stopping Heuristic for Active Learning-Based Screening in Systematic Reviews and Meta-Analyses (2023)The SAFE Procedure: A Practic…Bias in meta-analysis detected by a simple, graphical test (1997)Quantifying heterogeneity in a meta‐analysis (2002)Diagnostic and Statistical Manual of Mental Disorders (2013)Estimating the true global burden of mental illness (2016)Psychological Treatments for the World: Lessons from Low- and Middle-Income Countries (2017)Global Burden of Disease and the Impact of Mental and Addictive Disorders (2019)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Interrater Reliability in Systematic Review Methodology: Exploring Variation in Coder Decision-Making (2018)Toward systematic review automation: a practical guide to using machine learning tools in research synthesis (2019)A full systematic review was completed in 2 weeks using automation tools: a case study (2020)ECONOMETRIC ANALYSIS OF QUALITATIVE RESPONSE MODELS (1984)Applied choice analysis a primer (2005)A comparative study of machine learning classifiers for modeling travel mode choice (2017)A hybrid SEM-neural network analysis of social media addiction (2019)Choice modelling in the age of machine learning - Discussion paper (2021)The SAFE procedure: a practical stopping heuristic for active learning-based screening in systematic reviews and meta-analyses (2024)Reliability and Validity Assessment (1979)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)The art of crafting a systematic literature review in entrepreneurship research (2020)Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)Promoting an open research culture (2015)Rayyan—a web and mobile app for systematic reviews (2016)Artificial intelligence and the conduct of literature reviews (2021)Artificial intelligence in systematic reviews: promising when appropriately used (2023)Better duplicate detection for systematic reviewers: evaluation of Systematic Review Assistant-Deduplication Module (2015)Identifying and removing duplicate records from systematic review searches (2015)Do women and men use language differently in spoken face-to-face interaction? (2020)Gender Differences in the Intention to Get Vaccinated against COVID-19 - a Systematic Review and Meta-Analysis (2021)Silenced Survivors: A Systematic Review of the Barriers to Reporting, Investigating, Prosecuting, and Sentencing of Adult Female Rape and Sexual Assault (2024)An evidence-based practice guideline for the peer review of electronic search strategies (2009)Using logic models to capture complexity in systematic reviews (2011)Investigation of publication bias in meta-analyses of diagnostic test accuracy: a meta-epidemiological study (2014)Convergent and sequential synthesis designs: implications for conducting and reporting systematic reviews of qualitative and quantitative evidence (2017)Defining the process to literature searching in systematic reviews: a literature review of guidance and supporting studies (2018)Loneliness before and during the COVID-19 pandemic: A systematic review with meta-analysis. (2022)Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews (2021)Tools to support the automation of systematic reviews: a scoping review (2021)Artificial intelligence for literature reviews: opportunities and challenges (2024)A Scoping Review of Empirical Evidence on (Digital) Public Services Co-Creation (2021)SYMBALS: A Systematic Review Methodology Blending Active Learning and Snowballing (2021)Methods for using Bing's AI‐powered search engine for data extraction for a systematic review (2023)
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References

  • 2014The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–20132,844 cited
  • 2019Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources2,361 cited
  • 2016De-duplication of database search results for systematic reviews in EndNote1,926 cited
  • 2021An open source machine learning framework for efficient and transparent systematic reviews1,149 cited
  • 2017Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry733 cited
  • 2008Searching for Studies599 cited
  • 2018Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis523 cited
  • 2020Software tools to support title and abstract screening for systematic reviews in healthcare: an evaluation448 cited
  • 2016De-duplication of database search results for systematic reviews in EndNote152 cited
  • 2021An open source machine learning framework for efficient and transparent systematic reviews106 cited

Cited by

  • 2023The SAFE Procedure: A Practical Stopping Heuristic for Active Learning-Based Screening in Systematic Reviews and Meta-Analyses10 cited
  • 2025The hunt for the last relevant paper: blending the best of humans and AI9 cited

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