Article

Addressing algorithmic bias in precision well-being for medical education: A socially fair approach for clustering

2024-12-11

Abstract excerpt

<h4>Background</h4> Medical students frequently experience heightened levels of anxiety, depression, and burnout. These challenges are disproportionately borne by students from underrepresented backgrounds, who are exposed to systemic inequities, discrimination, and reduced access to supportive resources. While precision well-being approaches, characterized by identifying distinct well-being phenotypes for persona...

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Literature Corpus work: 8ed7e926-aa70-5b9d-a6d1-33cc5a394dfd
DOI: 10.1101/2024.12.10.24318825

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