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Understanding Why Many People Experiencing Homelessness Reported Migrating to a Small Canadian City: Machine Learning Approach With Augmented Data.

Chandreen Ravihari LiyanageVijay K MagoRebecca SchiffKen RantaAaron ParkKristyn Lovato-DayElise AgnorRavi Gokani
Published in: JMIR formative research (2023)
Applying machine learning enables researchers to make predictions related to migrants' homelessness and investigate how various factors become determinants of the predictions. We hope that the findings of this study will aid future policy making and resource allocation to better serve people experiencing homelessness. However, further improvements in the data set size and interpretation of the identified factors in decision-making are required.
Keyphrases
  • machine learning
  • big data
  • mental illness
  • decision making
  • electronic health record
  • artificial intelligence
  • public health
  • healthcare
  • mental health
  • current status
  • deep learning
  • drug induced