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Raising awareness of potential biases in medical machine learning: Experience from a Datathon
3
Zitationen
23
Autoren
2024
Jahr
Abstract
Datathons are a promising approach for challenging developers and users to explore questions relating to unrecognized biases in medical machine learning algorithms.
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Autoren
- Harry Hochheiser
- Jesse Klug
- Thomas Mathie
- Tom Pollard
- Jesse D. Raffa
- Stephanie L. Ballard
- Evamarie A. Conrad
- Smitha Edakalavan
- Allan M. Joseph
- Nader Alnomasy
- Sarah Nutman
- V. Hill
- Sumit Kumar Kapoor
- Eddie Pérez Claudio
- Ольга В’ячеславівна Кравченко
- Ruoting Li
- Mehdi Nourelahi
- J. B. Díaz
- Warren Taylor
- Sydney Rooney
- Maeve Woeltje
- Leo Anthony Celi
- Christopher M. Horvat
Institutionen
- University of Pittsburgh(US)
- UPMC Health System(US)
- Massachusetts Institute of Technology(US)
- Cincinnati Children's Hospital Medical Center(US)
- University of Cincinnati Medical Center(US)
- University of Ha'il(SA)
- Health Information Management(BE)
- Children's Hospital of Pittsburgh(US)
- Hadassah Medical Center(IL)
- Beth Israel Deaconess Medical Center(US)
- Harvard University(US)