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Explainable machine learning model for predicting furosemide responsiveness in patients with oliguric acute kidney injury
BACKGROUND: Although current guidelines didn’t support the routine use of furosemide in oliguric acute kidney injury (AKI) management, some patients may benefit from furosemide administration at an early stage. We aimed to develop an explainable machine learning (ML) model to differentiate between f...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848233/ https://www.ncbi.nlm.nih.gov/pubmed/36645039 http://dx.doi.org/10.1080/0886022X.2022.2151468 |