Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors

Acute kidney injury (AKI) is a major postoperative complication that lacks established intraoperative predictors. Our objective was to develop a prediction model using preoperative and high-frequency intraoperative data for postoperative AKI. In this retrospective cohort study, we evaluated 77,428 o...

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Detalles Bibliográficos
Autores principales: Zamirpour, Siavash, Hubbard, Alan E., Feng, Jean, Butte, Atul J., Pirracchio, Romain, Bishara, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451203/
https://www.ncbi.nlm.nih.gov/pubmed/37627817
http://dx.doi.org/10.3390/bioengineering10080932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451203/
https://www.ncbi.nlm.nih.gov/pubmed/37627817
http://dx.doi.org/10.3390/bioengineering10080932

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