Improving fairness in machine learning-enabled affirmative actions: a case study in outreach activities in healthcare-Reference-Cited by-同舟云学术

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Improving fairness in machine learning-enabled affirmative actions: a case study in outreach activities in healthcare

Published:2024-05-24 Issue: Volume: Page:1-12
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Barrera Ferro David¹^ORCID,Brailsford Sally²,Chapman Adriane³

Affiliation:

1. Department of Industrial Engineering, Pontificia Universidad Javeriana, Bogotá, Colombia

2. Southampton Business School, University of Southampton, Southampton, UK

3. Electronics and Computer Science Department, University of Southampton, Southampton, UK

Funder

Instituto Colombiano de Crédito Educativo y Estudios Técnicos en el Exterior

Colombian Institute for Educational Technical Studies Abroad

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01605682.2024.2354364

Reference40 articles.

1. Random forests and decision trees;Ali J.;International Journal of Computer Science Issues,,2012

2. Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis

3. College Admission with Multidimensional Privileges: The Brazilian Affirmative Action Case

4. Improving intervention design to promote cervical cancer screening among hard-to-reach women: assessing beliefs and predicting individual attendance probabilities in Bogotá, Colombia

5. Improving healthcare access management by predicting patient no-show behaviour

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