A Trio.pdf

KDD2020.pdf
Preview of a trio
🔗 Source: amulyayadav.com
📊 Size: 2.95 MB
👤 Author: Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, and Amulya Yadav
⬇️ Downloads: 64

Summary

Researchers analyzed data from 1,400 homeless youth across six US states to predict susceptibility to Substance Use Disorder (SUD) and identify associated factors. They built accurate Machine Learning (ML) models, with the best model achieving an Area Under the ROC Curve of 0.85. The study found that Post-Traumatic Stress Disorder (PTSD) and depression are strongly associated with SUD among homeless youth, who may self-medicate to alleviate stress. The researchers also investigated geographical heterogeneity in associated factors, aiming to provide data-driven insights for policymakers to develop effective long-term strategies to mitigate SUD among homeless youth.

Description

Researchers analyzed data from 1,400 homeless youth across six US states to predict susceptibility to Substance Use Disorder (SUD) and identify associated...

Technical Information

  • File Format: PDF
  • File Size: 2.95 MB
  • Pages: 9
  • Language: EN
  • Author: Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, and Amulya Yadav
  • Total Downloads: 64
  • Last Updated: 1 week ago

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