Considerations in the reliability and fairness audits of predictive models for advance care planning

Multiple reporting guidelines for artificial intelligence (AI) models in healthcare recommend that models be audited for reliability and fairness. However, there is a gap of operational guidance for performing reliability and fairness audits in practice. Following guideline recommendations, we condu...

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Detalles Bibliográficos
Autores principales: Lu, Jonathan, Sattler, Amelia, Wang, Samantha, Khaki, Ali Raza, Callahan, Alison, Fleming, Scott, Fong, Rebecca, Ehlert, Benjamin, Li, Ron C., Shieh, Lisa, Ramchandran, Kavitha, Gensheimer, Michael F., Chobot, Sarah, Pfohl, Stephen, Li, Siyun, Shum, Kenny, Parikh, Nitin, Desai, Priya, Seevaratnam, Briththa, Hanson, Melanie, Smith, Margaret, Xu, Yizhe, Gokhale, Arjun, Lin, Steven, Pfeffer, Michael A., Teuteberg, Winifred, Shah, Nigam H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634737/
https://www.ncbi.nlm.nih.gov/pubmed/36339512
http://dx.doi.org/10.3389/fdgth.2022.943768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634737/
https://www.ncbi.nlm.nih.gov/pubmed/36339512
http://dx.doi.org/10.3389/fdgth.2022.943768

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