Model predicts workplace vigilance from single sleep using under-mattress sensor

1. A machine learning model was developed for estimating vigilance impairment for high-risk shift work occupations using only data from a single prior sleep period. 2. The model was found to be comparable to current fatigue prediction models that relied upon self-reported data and multi-night measurements. Evidence Rating Level: 1 (Excellent) The ability to predict […]

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