Large-scale physical activity data reveal worldwide activity inequality.
about
Exercise for Health and Disease: Time to Move Ahead.Democratizing data science through data science trainingDesigning healthy communities: creating evidence on metrics for built environment features associated with walkable neighbourhood activity centres.Information Quality Challenges of Patient-Generated Data in Clinical Practice.Evaluating Machine Learning-Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial.The role of tele-medicine in patients with respiratory diseases.Obesity and prognosis: Time to forget about metabolically healthy obesity.The Genetics of Physical Activity.The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance, Integrated Knowledge Translation, and Policy Interventions: Longitudinal Study.Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research."What Is a Step?" Differences in How a Step Is Detected among Three Popular Activity Monitors That Have Impacted Physical Activity Research.Prevalence of metabolic syndrome and its risk factors in Kerala, South India: Analysis of a community based cross-sectional study.Population-Scale Pervasive Health.Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.Autonomic Differentiation Map: A Novel Statistical Tool for Interpretation of Heart Rate Variability.Stress experiences in neighborhood and social environments (SENSE): a pilot study to integrate the quantified self with citizen science to improve the built environment and health.Prospective analysis of time out-of-home and objectively measured walking duration during a week in a large cohort of older adults.Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain.Inequality in physical activity, sedentary behaviour, sleep duration and risk of obesity in children: a 12-country study.Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review.Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older AdultsPatterns and correlates of physical activity in adult Norwegians: a forecasted evolution up to 2025 based on machine learning approachDeveloping a toolkit for the assessment and monitoring of musculoskeletal ageingSynthesizing and Reconstructing Missing Sensory Modalities in Behavioral Context RecognitionLifestyle interventions in prevention and comprehensive management of COPD
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P2860
Large-scale physical activity data reveal worldwide activity inequality.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Large-scale physical activity data reveal worldwide activity inequality.
@en
type
label
Large-scale physical activity data reveal worldwide activity inequality.
@en
prefLabel
Large-scale physical activity data reveal worldwide activity inequality.
@en
P2093
P2860
P356
P1433
P1476
Large-scale physical activity data reveal worldwide activity inequality.
@en
P2093
Abby C King
Jennifer L Hicks
Scott L Delp
Tim Althoff
P2860
P2888
P304
P356
10.1038/NATURE23018
P407
P577
2017-07-10T00:00:00Z
P6179
1090546579