Developing an Agnostic Risk Prediction Model for Early AKI Detection in Cancer Patients

Acute kidney injury (AKI) is a common complication among oncology patients associated with lower remission rates and higher mortality. To reduce the impact of this condition, we aimed to predict AKI earlier than existing tools, to allow clinical intervention before occurrence. We trained a random fo...

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Detalles Bibliográficos
Autores principales: Scanlon, Lauren A., O’Hara, Catherine, Garbett, Alexander, Barker-Hewitt, Matthew, Barriuso, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393922/
https://www.ncbi.nlm.nih.gov/pubmed/34439336
http://dx.doi.org/10.3390/cancers13164182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393922/
https://www.ncbi.nlm.nih.gov/pubmed/34439336
http://dx.doi.org/10.3390/cancers13164182

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