Cargando…
Predicting high-risk opioid prescriptions before they are given
Misuse of prescription opioids is a leading cause of premature death in the United States. We use state government administrative data and machine learning methods to examine whether the risk of future opioid dependence, abuse, or poisoning can be predicted in advance of an initial opioid prescripti...
Autores principales: | Hastings, Justine S., Howison, Mark, Inman, Sarah E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994994/ https://www.ncbi.nlm.nih.gov/pubmed/31937665 http://dx.doi.org/10.1073/pnas.1905355117 |
Ejemplares similares
-
Resources given to high energy physics in 1986 in the CERN member states: comparison with previous censuses
por: Roche, C
Publicado: (1988) -
Inappropriate prescribing of opioids for patients undergoing surgery
por: Varady, Nathan H., et al.
Publicado: (2022) -
Assessment of Postoperative Opioid Prescriptions Before and After Implementation of a Mandatory Prescription Drug Monitoring Program
por: Shenoy, Rivfka, et al.
Publicado: (2021) -
3274 Postoperative Opioid Use and Prescription Utilization in Adolescents
por: Kelley-Quon, Lorraine, et al.
Publicado: (2019) -
Naloxone Prescriptions Among Commercially Insured Individuals at High Risk of Opioid Overdose
por: Follman, Sarah, et al.
Publicado: (2019)