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Assessing recall of personal sun exposure by integrating UV dosimeter and self-reported data with a network flow framework.

Nabil AlshurafaJayalakshmi JainTammy K StumpBonnie SpringJune K Robinson
Published in: PloS one (2019)
These discrepancies may reflect lack of accurate recall of sun exposure during times of peak sun intensity (10am-2pm) that could ultimately increase the risk of developing melanoma. This research provides technical contributions to the field of wearable computing, activity recognition, and identifies actionable times to improve participants' perception of their sun exposure.
Keyphrases
  • particulate matter
  • air pollution
  • gene expression
  • genome wide
  • heavy metals
  • electronic health record
  • blood pressure
  • machine learning
  • heart rate
  • risk assessment
  • mass spectrometry
  • deep learning
  • data analysis