AMS Weekly Zoom Seminar w/ Tom Woolf from School of Medicine, Department of Physiology

Title:  Circadian Event Streams: Initial Models for Prediction and Control
Abstract:  Our daily habits can have long-term health consequences.  We are evaluating a simple idea for health: eating within a shorter interval of time (for example 6-8 hours) each day rather than the often found 10-14 hours of eating.  To evaluate this idea, with funding from the AHA, we have developed an App (Daily24) and have collected daily times for meals and sleep from more than 500 individuals over six months of time.  This event data can be interpreted as repeated samples from each individuals circadian day, as an event stream.  If multiple days (like the movie Groundhog Day) are essentially similar realizations of each person’s habits, then we can build up a circadian event model to summarize the data for each individual.  We are currently evaluating a simple mixed component model, Gaussian Process models and state space models.  With these models in place we can imagine building a dynamic Hawkes graph to help evaluate circadian-based decisions for optimizing health by providing predictive feedback on choices for the daily habits involved with eating and sleeping..
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Topic: AMS Weekly Seminar w/ Tom Woolf
Time: Apr 30, 2020 01:30 PM Eastern Time (US and Canada)
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Meeting ID: 948 3973 9367
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Meeting ID: 948 3973 9367