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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Materias: | |
| 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 |