Opioid Use Disorder Treatment Modeling

About

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A combination of publicly available data sources with community, individual, social and opioid crisis related variables can be used to predict where treatment facilities may be needed in the future throughout the state of Indiana. To complete this task, we will undertake the following:

  • Collect and clean raw, public datasets.
  • Create index variables.
  • Develop and train machine learning models by utilizing multinomial, spatial classification model with regularization to predict geolocation of high/medium/low opioid treatment facilities with aforementioned three latent variables as well as spatial variables (county area and size as well as proximity to existing treatment centers).
  • Cross-validate models with held-out data.

Partners

Funding

  • BioCrossroads

Publications and presentations

Press

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