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Machine Learning to Summarize and Provide Context for Sleep and Eating Schedules

2021-01-04

Abstract excerpt

The relative timing of sleep and of eating within the circadian day is important for human health. Despite much data on sleep, and a growing data set for eating, there remains a need for an interpretative framework for the understanding of this data for health decisions. This study provides a new statistical and machine learning analysis of more than 500 participants in the Daily24 project. From their data, and th...

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Identifiers and source

Literature Corpus work
df86222f-bc07-56e3-9016-f879fc836373
DOI
10.1101/2020.12.31.424983
Open publication

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Machine Learning to Summarize and Provide Context for Sleep and Eating SchedulesDOI 10.1101/2020.12.31.424983
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