📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

An adversarial training framework for mitigating algorithmic biases in clinical machine learning (2023)

First Author: Yang J

Attributed to: University of Oxford – Confidence in Concept 2019 funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1038/s41746-023-00805-y

Publication URI: http://dx.doi.org/10.1038/s41746-023-00805-y

Type: Journal Article/Review

Parent Publication: npj Digital Medicine

Issue: 1