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Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age.

David C MohrKatie ShiltonMatthew Hotopf
Published in: NPJ digital medicine (2020)
Data from networked sensors, such as those in our phones, are increasingly being explored and used to identify behaviors related to health and mental health. While computer scientists have referred to this field as context sensing, personal sensing, or mobile sensing, medicine has more recently adopted the term digital phenotyping. This paper discusses the implications of these labels in light of privacy concerns, arguing language that is transparent and meaningful to the people whose data we are acquiring.
Keyphrases
  • mental health
  • big data
  • healthcare
  • electronic health record
  • high throughput
  • health information
  • preterm infants
  • machine learning
  • single cell