Comparing machine learning and logistic regression for acute kidney injury prediction in trauma patients: A retrospective observational study at a single tertiary medical center

Acute kidney injury (AKI) is common in patients with trauma and is associated with poor outcomes. Therefore, early prediction of AKI in patients with trauma is important for risk stratification and the provision of optimal intensive care unit treatment. This study aimed to compare 2 models, machine...

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Detalles Bibliográficos
Autores principales: Choi, Hanlim, Lee, Jin Young, Sul, Younghoon, Kim, Seheon, Ye, Jin Bong, Lee, Jin Suk, Yoon, Suyoung, Seok, Junepill, Han, Jonghee, Choi, Jung Hee, Kim, Hong Rye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
3900
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443755/
https://www.ncbi.nlm.nih.gov/pubmed/37603521
http://dx.doi.org/10.1097/MD.0000000000034847

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443755/
https://www.ncbi.nlm.nih.gov/pubmed/37603521
http://dx.doi.org/10.1097/MD.0000000000034847

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