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Precision Health-Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation.

Suranga N KasthurirathneShaun J GrannisPaul K HalversonJustin MoreaNir MenachemiJoshua R Vest
Published in: JMIR medical informatics (2020)
Precision health-enabled decision models that leverage a wide range of patient- and population-level data sets and advanced machine learning methods are capable of predicting need for various wraparound social services with good performance.
Keyphrases
  • healthcare
  • machine learning
  • mental health
  • big data
  • public health
  • artificial intelligence
  • case report
  • electronic health record
  • primary care
  • health information
  • deep learning