Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements.

BMC Med. Inf. & Decision Making(2019)

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摘要
Experimental results suggest that our model has the potential to assist clinicians in identifying patients at greater risk of new onset of AKI in critical care setting. Prospective trials with independent model training and external validation cohorts are needed to further evaluate the clinical utility of this approach and potentially instituting interventions to decrease the likelihood of developing AKI.
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关键词
Acute kidney injury,Artificial neural networks,Intensive care unit,Multivariate logistic regression,Physiological measurements,Predictive modeling,Random forest
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