Ambient sound and light data from ICU rooms predict delirium with AUC 0.80 using convolutional neural networks, with sound as the dominant predictor, on data from 309 patients across 9 ICUs.
Computable phenotypes to characterize changing patient brain dysfunction in the intensive care unit,
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Risk Stratification for ICU Delirium using Pervasive Ambient Sensing Information
Ambient sound and light data from ICU rooms predict delirium with AUC 0.80 using convolutional neural networks, with sound as the dominant predictor, on data from 309 patients across 9 ICUs.