Correlates of sleep quality in midlife and beyond: a machine learning analysis.
about
Sleep problems during the menopausal transition: prevalence, impact, and management challenges.Poor Sleep Quality is Associated with Insulin Resistance in Postmenopausal Women With and Without Metabolic Syndrome.Rapid Eye Movement Sleep, Sleep Continuity and Slow Wave Sleep as Predictors of Cognition, Mood, and Subjective Sleep Quality in Healthy Men and Women, Aged 20–84 Years.
P2860
Correlates of sleep quality in midlife and beyond: a machine learning analysis.
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年學術文章
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name
Correlates of sleep quality in midlife and beyond: a machine learning analysis.
@en
Correlates of sleep quality in midlife and beyond: a machine learning analysis.
@nl
type
label
Correlates of sleep quality in midlife and beyond: a machine learning analysis.
@en
Correlates of sleep quality in midlife and beyond: a machine learning analysis.
@nl
prefLabel
Correlates of sleep quality in midlife and beyond: a machine learning analysis.
@en
Correlates of sleep quality in midlife and beyond: a machine learning analysis.
@nl
P2093
P2860
P1433
P1476
Correlates of sleep quality in midlife and beyond: a machine learning analysis.
@en
P2093
Katherine A Kaplan
Prajesh P Hardas
Sleep Heart Health Study Research Group
P2860
P304
P356
10.1016/J.SLEEP.2017.03.004
P577
2017-03-27T00:00:00Z