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...

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Detalles Bibliográficos
Autores principales: Jiang, Meng, Pan, Chun-qiu, Li, Jian, Xu, Li-gang, Li, Chang-li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Clinical Study
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

Internet

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

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