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.
Quantifying circadian desynchrony in icu patients and its association with delirium,
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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.