Predictive Modeling of the Risk of Acute Kidney Injury in Critical Care: A Systematic Investigation of The Class Imbalance Problem

Acute Kidney Injury (AKI) in critical care is often a quickly-evolving clinical event with high morbidity and mortality. Early prediction of AKI risk in critical care setting can facilitate early interventions that are likely to provide ben- efit. Recently there have been some research on AKI predic...

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出版年:AMIA Jt Summits Transl Sci Proc
主要な著者: Xu, Zhenxing, Feng, Yujuan, Li, Yun, Srivastava, Anand, Adekkanattu, Prakash, Ancker, Jessica S., Jiang, Guoqian, Kiefer, Richard C., Lee, Kathleen, Pacheco, Jennifer A., Rasmussen, Luke V., Pathak, Jyotishman, Luo, Yuan, Wang, Fei
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Informatics Association 2019
主題:
Articles
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6568062/
https://ncbi.nlm.nih.gov/pubmed/31259038
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