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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...
Autores principales: | Scanlon, Lauren A., O’Hara, Catherine, Garbett, Alexander, Barker-Hewitt, Matthew, Barriuso, Jorge |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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