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Conference object . 2022
License: CC BY
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Article . 2022
License: CC BY
Data sources: Datacite
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Article . 2022
License: CC BY
Data sources: Datacite
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Sleep Analysis Using Machine Learning

Authors: Kevin Liza Alex; Gloriya Mathew;

Sleep Analysis Using Machine Learning

Abstract

Abstract—This paper analyses human sleep and evaluates how various factors affect the sleep a human being. For every single human being sleep is an essential factor. The lack of adequate sleep leads to various health issues. Using Machine learning technique with the help of linear regression algorithm, the model predicts whether the human being is having enough sleep based on the various factors that affects the quality of sleep.

Keywords

machine learning, sleep analysis, linear regression., enough sleep

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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