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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

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