Dynamic models of stress-smoking responses based on high-frequency sensor data
Abstract Self-reports indicate that stress increases the risk for smoking; however, intensive data from sensors can provide a more nuanced understanding of stress in the moments leading up to and following smoking events. Identifying personalized dynamical models of stress-smoking responses can impr...
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Main Authors: | , , , , , , , , , |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
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Subjects: | |
Online Access: | https://doaj.org/article/0ff1c740687e4d37a5624e752e6542da |
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