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Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study.

Ayse Selin CakmakErick A Perez AldaySamuel DensenGabriel NajarroPratik RoutChristopher J RozellOmer T InanAmit J ShahGari D Clifford
Published in: JMIR formative research (2022)
Smartphone-based data that includes both passive monitoring and actively collected surveys may provide important behavioral and functional health information on HF status in advance of clinical visits. This proof-of-concept study, although small, offers important insight into the social and behavioral determinants of health and the feasibility of using smartphone-based monitoring in this population. Our strong results are comparable to those of more active and expensive monitoring approaches, and underscore the need for larger studies to understand the clinical significance of this monitoring method.
Keyphrases
  • health information
  • healthcare
  • heart failure
  • mental health
  • social media
  • public health
  • cross sectional
  • electronic health record
  • atrial fibrillation
  • climate change
  • machine learning