SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Evaluating machine learning model bias and racial disparities in non-small cell lung cancer using SEER registry data
13 references·0 citing·43 second hop
Evaluating machine learning model bias and racial disparities in non-small cell lung cancer using SEER registry data (2024)Evaluating machine learning model bias an…The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences (2022)The Causal Fairness Field Gui…Structural Racism In Historical And Modern US Health Care Policy (2022)Structural Racism In Historic…Longitudinal Fairness with Censorship (2022)Longitudinal Fairness with Ce…Bias in machine learning software: why? how? what to do? (2021)Bias in machine learning soft…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Fair AI (2020)Fair AIBias in data‐driven artificial intelligence systems—An introductory survey (2020)Bias in data‐driven artificia…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)AI Fairness 360: An extensibl…Fairness definitions explained (2018)Fairness definitions explainedEnsuring Fairness in Machine Learning to Advance Health Equity (2018)Ensuring Fairness in Machine …Vital Signs: Racial Disparities in Age-Specific Mortality Among Blacks or African Americans — United States, 1999–2015 (2017)Vital Signs: Racial Dispariti…On Formalizing Fairness in Prediction with Machine Learning (2017)On Formalizing Fairness in Pr…Social Conditions as Fundamental Causes of Disease (1995)Social Conditions As Fundamental Causes of Disease (1995)Social Conditions as Fundamental Causes of Health Inequalities: Theory, Evidence, and Policy Implications (2010)Life Expectancy and Mortality Rates in the United States, 1959-2017 (2019)COVID-19 and Racial/Ethnic Disparities (2020)The Disproportionate Impact of COVID-19 on Racial and Ethnic Minorities in the United States (2020)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Model Cards for Model Reporting (2019)Algorithmic Bias in Education (2021)Health Care Disparities (2003)Mitigating Unwanted Biases with Adversarial Learning (2018)Artificial intelligence and algorithmic bias: implications for health systems (2019)Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety (2019)Ethical Machine Learning in Healthcare (2021)The Statistical Theory of Racism and Sexism. (1972)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Certifying and Removing Disparate Impact (2015)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Addressing bias in big data and AI for health care: A call for open science (2021)Big Data's Disparate Impact (2014)Semantics derived automatically from language corpora contain human-like biases (2017)Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms (2020)CRITICAL QUESTIONS FOR BIG DATA (2012)A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)Artificial Intelligence and Business Value: a Literature Review (2021)New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023)Justice as Fairness: A Restatement (2002)An Overview of Artificial Intelligence Ethics (2022)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Responsible artificial intelligence governance: A review and research framework (2025)Three naive Bayes approaches for discrimination-free classification (2010)Data preprocessing techniques for classification without discrimination (2011)k-NN as an implementation of situation testing for discrimination discovery and prevention (2011)A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers (2023)Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey (2023)Racism and Health: Evidence and Needed Research (2019)On epidemiology as racial-capitalist (re)colonization and epistemic violence (2022)Health equity: A concept analysis (2023)Inequities in surgical outcomes by race and sex in the United States: retrospective cohort study (2023)
this work references cited by second hop

References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,674 cited
  • 2021A Survey on Bias and Fairness in Machine Learning6,499 cited
  • 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias1,581 cited
  • 2018Ensuring Fairness in Machine Learning to Advance Health Equity1,409 cited
  • 2018Fairness definitions explained1,133 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,111 cited
  • 2022Structural Racism In Historical And Modern US Health Care Policy466 cited
  • 2017Vital Signs: Racial Disparities in Age-Specific Mortality Among Blacks or African Americans — United States, 1999–2015399 cited
  • 2021Bias in machine learning software: why? how? what to do?224 cited
  • 2020Fair AI160 cited
  • 2017On Formalizing Fairness in Prediction with Machine Learning152 cited
  • 2022The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences41 cited
  • 2022Longitudinal Fairness with Censorship35 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work