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Data Quality Degradation on Prediction Models Generated From Continuous Activity and Heart Rate Monitoring: Exploratory Analysis Using Simulation.

Jason HearnJef Van den EyndeBhargava ChinniAri M CedarsDanielle Gottlieb SenShelby KuttyCedric Manlhiot
Published in: JMIR cardio (2023)
In this proof-of-concept study, the performance of predictive models for cardiac competence generated from continuously acquired physiological data was relatively stable with declining quality of the source data. As such, lower accuracy of consumer-oriented wearable devices might not be an absolute contraindication for their use in clinical prediction models.
Keyphrases
  • heart rate
  • electronic health record
  • heart rate variability
  • blood pressure
  • big data
  • healthcare
  • heart failure
  • virtual reality