Semantic Scholar
Open Access
2020
525 sitasi
Ethical Machine Learning in Health Care
I. Chen
E. Pierson
Sherri Rose
Shalmali Joshi
Kadija S. Ferryman
+1 lainnya
Abstrak
The use of machine learning (ML) in healthcare raises numerous ethical concerns, especially as models can amplify existing health inequities. Here, we outline ethical considerations for equitable ML in the advancement of healthcare. Specifically, we frame ethics of ML in healthcare through the lens of social justice. We describe ongoing efforts and outline challenges in a proposed pipeline of ethical ML in health, ranging from problem selection to postdeployment considerations. We close by summarizing recommendations to address these challenges.
Topik & Kata Kunci
Penulis (6)
I
I. Chen
E
E. Pierson
S
Sherri Rose
S
Shalmali Joshi
K
Kadija S. Ferryman
M
M. Ghassemi
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2020
- Bahasa
- en
- Total Sitasi
- 525×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1146/annurev-biodatasci-092820-114757
- Akses
- Open Access ✓