Computational Markers of Risky Decision-making for Identification of Temporal Windows of Vulnerability to Opioid Use in a Real-world Clinical Setting
Importance: Opioid addiction is a major public health problem. Despite availability of evidence-based treatments, relapse and dropout are common outcomes. Efforts aimed at identifying reuse risk and gaining more precise understanding of the mechanisms conferring reuse vulnerability are needed. Objec...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/22207
- Acceso en línea:
- https://doi.org/10.1001/jamapsychiatry.2019.4013
https://repository.urosario.edu.co/handle/10336/22207
- Palabra clave:
- Opiate
Adult
Anxiety
Article
Clinical assessment
Cohort analysis
Comparative study
Computer model
Decision making
Diagnosis related group
Drug craving
Drug use
Female
High risk behavior
Human
Major clinical study
Male
Opiate addiction
Patient compliance
Prospective study
Self report
Test retest reliability
- Rights
- License
- Abierto (Texto Completo)