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Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA.

Aynaz LotfataStefanos Georganos
Published in: Journal of geographical systems (2023)
The online version contains supplementary material available at 10.1007/s10109-023-00415-y.
Keyphrases
  • machine learning
  • risk factors
  • physical activity
  • social media
  • mental health
  • health information
  • psychometric properties
  • artificial intelligence
  • big data
  • deep learning