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- W4313532049 abstract "In this paper, a machine learning approach is adopted to predict stress levels using a dataset containing sleep-related parameters. The primary goal is to determine whether there is a link between stress and sleep patterns. The dataset, used in this work, was acquired by National Sleep Research Resource (USA) which was then processed for SaYoPillow, a technology that promotes the concept of “Smart Sleep”. In this study, five classifiers were used to generate five different models. The models created can very reliably predict stress levels from sleep parameters." @default.
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- W4313532049 date "2023-01-01" @default.
- W4313532049 modified "2023-09-25" @default.
- W4313532049 title "Stress Mining from Sleep-Related Parameters" @default.
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- W4313532049 doi "https://doi.org/10.1007/978-3-031-21438-7_62" @default.
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