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.

Penulis (6)

I

I. Chen

E

E. Pierson

S

Sherri Rose

S

Shalmali Joshi

K

Kadija S. Ferryman

M

M. Ghassemi

Format Sitasi

Chen, I., Pierson, E., Rose, S., Joshi, S., Ferryman, K.S., Ghassemi, M. (2020). Ethical Machine Learning in Health Care. https://doi.org/10.1146/annurev-biodatasci-092820-114757

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 ✓