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Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance.

Niloofar JalaliKirti Sundar SahuArlene OetomoPlinio Pelegrini Morita
Published in: JMIR mHealth and uHealth (2020)
This approach could enhance individual health monitoring as well as public health surveillance. It provides a potentially nonobtrusive tool to assist public health officials and governments in policy development and emergency personnel in the event of an emergency by measuring indoor behavior while preserving privacy and using existing commercially available thermostat equipment.
Keyphrases
  • public health
  • global health
  • health information
  • big data
  • healthcare
  • machine learning
  • air pollution
  • health risk
  • risk assessment
  • quantum dots
  • loop mediated isothermal amplification
  • real time pcr
  • drinking water