Creating a Machine Learning Tool to Predict Acute Kidney Injury in African American Hospitalized Patients

Machine learning (ML) has been used to build high-performance prediction models in the past without considering race. African Americans (AA) are vulnerable to acute kidney injury (AKI) at a higher eGFR level than Caucasians. AKI increases mortality, length of hospital stays, and incidence of chronic...

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Detalles Bibliográficos
Autores principales: Pierre-Paul, Sasha, Wang, Xiang S., Mere, Constance, Rungkitwattanakul, Dhakrit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326647/
https://www.ncbi.nlm.nih.gov/pubmed/35893706
http://dx.doi.org/10.3390/pharmacy10040068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326647/
https://www.ncbi.nlm.nih.gov/pubmed/35893706
http://dx.doi.org/10.3390/pharmacy10040068

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