Machine Learning for Predicting Risk of Early Dropout in a Recovery Program for Opioid Use Disorder

Background: An increase in opioid use has led to an opioid crisis during the last decade, leading to declarations of a public health emergency. In response to this call, the Houston Emergency Opioid Engagement System (HEROES) was established and created an emergency access pathway into long-term rec...

Descripción completa

Detalles Bibliográficos
Autores principales: Gottlieb, Assaf, Yatsco, Andrea, Bakos-Block, Christine, Langabeer, James R., Champagne-Langabeer, Tiffany
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871589/
https://www.ncbi.nlm.nih.gov/pubmed/35206838
http://dx.doi.org/10.3390/healthcare10020223

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871589/
https://www.ncbi.nlm.nih.gov/pubmed/35206838
http://dx.doi.org/10.3390/healthcare10020223

Ejemplares similares