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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
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 |
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