"Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case ..."

Marissa Borgese et al. (2021)

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DOI: —

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type: Conference or Workshop Paper

metadata version: 2024-04-17

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  - conf/amia/BorgeseJACA21
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Marissa Borgese, Cara Joyce, Emily E. Anderson, Matthew M. Churpek, Majid Afshar:
Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use. AMIA 2021

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