Causal Analysis of Physiological Sleep Data Using Granger Causality and Score-Based Structure Learning
Alex Thomas,
Mahesan Niranjan,
Julian Legg
Abstract:Understanding how the human body works during sleep and how this varies in the population is a task with significant implications for medicine. Polysomnographic studies, or sleep studies, are a common diagnostic method that produces a significant quantity of time-series sensor data. This study seeks to learn the causal structure from data from polysomnographic studies carried out on 600 adult volunteers in the United States. Two methods are used to learn the causal structure of these data: the well-established… Show more
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