Multi-disciplinary fairness considerations in machine learning for clinical trials-Reference-Cited by-同舟云学术

Multi-disciplinary fairness considerations in machine learning for clinical trials

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Chien Isabel¹,Deliu Nina²,Turner Richard¹,Weller Adrian³,Villar Sofia⁴,Kilbertus Niki⁵

Affiliation:

1. Machine Learning Group, University of Cambridge, United Kingdom

2. MRC Biostatistics Unit, University of Cambridge, United Kingdom and MEMOTEF Department, Sapienza University of Rome, Italy

3. Machine Learning Group, University of Cambridge, United Kingdom and The Alan Turing Institute, United Kingdom

4. MRC Biostatistics Unit, University of Cambridge, United Kingdom

5. Technical University of Munich, Germany and Helmholtz Munich, Germany

Funder

NIHR Cambridge Cambridge Biomedical Research Centre

UK Medical Research Council

EPSRC Prosperity Partnership between Microsoft Research and the University of Cambridge

EPSRC Turing AI Fellowship

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3533154

Reference289 articles.

1. [n. d.]. Clinical trials regulations. https://www.ukri.org/councils/mrc/guidance-for-applicants/policies-and-guidance-for-researchers/clinical-research-governance/clinical-trials-regulations/ [n. d.]. Clinical trials regulations. https://www.ukri.org/councils/mrc/guidance-for-applicants/policies-and-guidance-for-researchers/clinical-research-governance/clinical-trials-regulations/

2. [n. d.]. Ethics in clinical research. https://clinicalcenter.nih.gov/recruit/ethics.html [n. d.]. Ethics in clinical research. https://clinicalcenter.nih.gov/recruit/ethics.html

3. 2021. How clinical trials are approved. https://www.cancerresearchuk.org/about-cancer/find-a-clinical-trial/how-clinical-trials-are-planned-and-organised/how-clinical-trials-are-approved 2021. How clinical trials are approved. https://www.cancerresearchuk.org/about-cancer/find-a-clinical-trial/how-clinical-trials-are-planned-and-organised/how-clinical-trials-are-approved

4. Lusine Abrahamyan , Brian M Feldman , George Tomlinson , Marie E Faughnan , Sindhu R Johnson , Ivan R Diamond , and Samir Gupta . 2016. Alternative designs for clinical trials in rare diseases . In American Journal of Medical Genetics Part C: Seminars in Medical Genetics, Vol. 172 . Wiley Online Library , 313–331. Lusine Abrahamyan, Brian M Feldman, George Tomlinson, Marie E Faughnan, Sindhu R Johnson, Ivan R Diamond, and Samir Gupta. 2016. Alternative designs for clinical trials in rare diseases. In American Journal of Medical Genetics Part C: Seminars in Medical Genetics, Vol. 172. Wiley Online Library, 313–331.

5. Shunit Agmon , Plia Gillis , Eric Horvitz , and Kira Radinsky . 2022. Gender-sensitive word embeddings for healthcare. Journal of the American Medical Informatics Association : JAMIA ( 2022 ). Shunit Agmon, Plia Gillis, Eric Horvitz, and Kira Radinsky. 2022. Gender-sensitive word embeddings for healthcare. Journal of the American Medical Informatics Association : JAMIA (2022).

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