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Issue No. 04 - October-December (2017 vol. 16)
ISSN: 1536-1268
pp: 75-79
Tim Althoff , Stanford University
ABSTRACT
Population-scale pervasive health research attempts to harness large-scale data that has already been collected through commercial devices and web applications to study human behaviors and the links between that data and health and well-being. Leveraging these existing datasets enables studies of behaviors and health at an unprecedented scale, resolution, and duration relatively inexpensively and quickly. Yet although there are great advantages in leveraging large-scale datasets for individual and population health, specialized computational methods are needed to overcome the limitations of this approach. Here, the author reviews lessons learned from his own work and from the works of other researchers, and he presents current challenges and opportunities.
INDEX TERMS
Statistics, Sensors, Medical services, Mobile communication, Social network services, Atmospheric measurements, Bioinformatics, Privacy, Data analysis, Internet of Things
CITATION

T. Althoff, "Population-Scale Pervasive Health," in IEEE Pervasive Computing, vol. 16, no. 4, pp. 75-79, 2017.
doi:10.1109/MPRV.2017.3971134
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