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Closing the Digital Divide in Interventions for Substance Use Disorder
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Closing the Digital Divide in Interventions for Substance Use Disorder (2024)Closing the Digital Divide in Interventio…Towards digital health equity - a qualitative study of the challenges experienced by vulnerable groups in using digital health services in the COVID-19 era (2022)Towards digital health equity…Moving beyond “algorithmic bias is a data problem” (2021)Moving beyond “algorithmic bi…Disparities in Health Care and the Digital Divide (2021)Disparities in Health Care an…Approaches for Implementing App-Based Digital Treatments for Drug Use Disorders Into Primary Care: A Qualitative, User-Centered Design Study of Patient Perspectives (2021)Approaches for Implementing A…A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Framework of Potential Sour…Current reporting of usability and impact of mHealth interventions for substance use disorder: A systematic review (2020)Current reporting of usabilit…Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Algorithmic Fairness: Choices…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…To Predict and Serve? (2016)To Predict and Serve?Measuring individual differences in implicit cognition: The implicit association test. 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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2020Algorithmic Fairness: Choices, Assumptions, and Definitions687 cited
  • 2016To Predict and Serve?611 cited
  • 2021Disparities in Health Care and the Digital Divide576 cited
  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2022Towards digital health equity - a qualitative study of the challenges experienced by vulnerable groups in using digital health services in the COVID-19 era300 cited
  • 2021Moving beyond “algorithmic bias is a data problem”181 cited
  • 2020Current reporting of usability and impact of mHealth interventions for substance use disorder: A systematic review107 cited
  • 2021Approaches for Implementing App-Based Digital Treatments for Drug Use Disorders Into Primary Care: A Qualitative, User-Centered Design Study of Patient Perspectives32 cited

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