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Assessing Phenotype Definitions for Algorithmic Fairness. (arXiv:2203.05174v1 [q-bio.OT])
March 11, 2022, 2:11 a.m. | Tony Y. Sun, Shreyas Bhave, Jaan Altosaar, Noémie Elhadad
cs.LG updates on arXiv.org arxiv.org
Disease identification is a core, routine activity in observational health
research. Cohorts impact downstream analyses, such as how a condition is
characterized, how patient risk is defined, and what treatments are studied. It
is thus critical to ensure that selected cohorts are representative of all
patients, independently of their demographics or social determinants of health.
While there are multiple potential sources of bias when constructing phenotype
definitions which may affect their fairness, it is not standard in the field of …
More from arxiv.org / cs.LG updates on arXiv.org
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