Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements
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Title
Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements
Authors
Keywords
Physiological measurements, Acute kidney injury, Intensive care unit, Predictive modeling, Multivariate logistic regression, Random forest, Artificial neural networks
Journal
BMC Medical Informatics and Decision Making
Volume 19, Issue S1, Pages -
Publisher
Springer Nature
Online
2019-01-31
DOI
10.1186/s12911-019-0733-z
References
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- (2009) Charuhas V. Thakar et al. CRITICAL CARE MEDICINE
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