Literature DB >> 31649182

Assessing risk, automating racism.

Ruha Benjamin1.   

Abstract

Mesh：

Year:  2019        PMID： 31649182     DOI： 10.1126/science.aaz3873

Source DB:  PubMed          Journal:  Science        ISSN： 0036-8075            Impact factor:   47.728


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  27 in total

1.  Addressing health disparities in the Food and Drug Administration's artificial intelligence and machine learning regulatory framework.

Authors:  Kadija Ferryman
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

2.  Those designing healthcare algorithms must become actively anti-racist.

Authors:  Kellie Owens; Alexis Walker
Journal:  Nat Med       Date:  2020-09       Impact factor: 53.440

3.  Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.

Authors:  Melissa D McCradden; Shalmali Joshi; James A Anderson; Mjaye Mazwi; Anna Goldenberg; Randi Zlotnik Shaul
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

4.  Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions.

Authors:  Aviv Y Landau; Susi Ferrarello; Ashley Blanchard; Kenrick Cato; Nia Atkins; Stephanie Salazar; Desmond U Patton; Maxim Topaz
Journal:  J Am Med Inform Assoc       Date:  2022-01-29       Impact factor: 4.497

5.  Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study.

Authors:  Aviv Y Landau; Ashley Blanchard; Kenrick Cato; Nia Atkins; Stephanie Salazar; Desmond U Patton; Maxim Topaz
Journal:  J Am Med Inform Assoc       Date:  2022-01-29       Impact factor: 4.497

6.  Ethical Machine Learning in Healthcare.

Authors:  Irene Y Chen; Emma Pierson; Sherri Rose; Shalmali Joshi; Kadija Ferryman; Marzyeh Ghassemi
Journal:  Annu Rev Biomed Data Sci       Date:  2021-05-06

7.  Perinatal morbidity and health utilization among mothers of medically fragile infants.

Authors:  Alison M Stuebe; Christine Tucker; Renée M Ferrari; Erin McClain; Michele Jonsson-Funk; Virginia Pate; Katherine Bryant; Nkechi Charles; Sarah Verbiest
Journal:  J Perinatol       Date:  2021-08-10       Impact factor: 3.225

8.  Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study.

Authors:  Joy Tzung-Yu Wu; Miguel Ángel Armengol de la Hoz; Po-Chih Kuo; José Maria Castellano; Leo Anthony Celi; Joseph Alexander Paguio; Jasper Seth Yao; Edward Christopher Dee; Wesley Yeung; Jerry Jurado; Achintya Moulick; Carmelo Milazzo; Paloma Peinado; Paula Villares; Antonio Cubillo; José Felipe Varona; Hyung-Chul Lee; Alberto Estirado
Journal:  J Digit Imaging       Date:  2022-07-05       Impact factor: 4.903

9.  An empirical characterization of fair machine learning for clinical risk prediction.

Authors:  Stephen R Pfohl; Agata Foryciarz; Nigam H Shah
Journal:  J Biomed Inform       Date:  2020-11-18       Impact factor: 6.317

10.  Effects of Neighborhood-level Data on Performance and Algorithmic Equity of a Model That Predicts 30-day Heart Failure Readmissions at an Urban Academic Medical Center.

Authors:  Gary E Weissman; Stephanie Teeple; Nwamaka D Eneanya; Rebecca A Hubbard; Shreya Kangovi
Journal:  J Card Fail       Date:  2021-05-26       Impact factor: 6.592
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