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Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations
16 references·0 citing·41 second hop
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Dimensions of methodological quality associated with estimates of treatment effects in controlled trials (1995)CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials (2010)Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol (2021)The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence (2025)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration (2015)PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods (2025)Achieving health equity: from root causes to fair outcomes (2007)Gender differences in suicidal behavior in adolescents and young adults: systematic review and meta-analysis of longitudinal studies (2019)Social Determinants of Health and Diabetes: A Scientific Review (2020)The Delphi technique as a forecasting tool: issues and analysis (1999)The Delphi method as a research tool: an example, design considerations and applications (2004)The Delphi Technique: Making Sense of Consensus (2020)An examination of corporate reporting, environmental management practices and firm performance (2006)How Do Employees Perceive Corporate Responsibility? 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References

  • 2011International Organization for Standardization12,534 cited
  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 1963An Experimental Application of the DELPHI Method to the Use of Experts6,052 cited
  • 2024TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods4,531 cited
  • 2012The Problem With the Phrase Women and Minorities: Intersectionality—an Important Theoretical Framework for Public Health2,985 cited
  • 2010A Conceptual Framework for Action on the Social Determinants of Health2,352 cited
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  • 2020The CARE Principles for Indigenous Data Governance1,399 cited
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  • 2021Ethical Machine Learning in Healthcare635 cited
  • 2023Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction276 cited
  • 2021The Critical Role of Racial/Ethnic Data Disaggregation for Health Equity224 cited
  • 2023Considering Biased Data as Informative Artifacts in AI-Assisted Health Care132 cited
  • 2022Tackling bias in AI health datasets through the STANDING Together initiative

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82 cited
  • 2022Healthsheet: Development of a Transparency Artifact for Health Datasets78 cited
  • 2022In medicine, how do we machine learn anything real?37 cited
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