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Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
BACKGROUND: Machine-learning methods such as the Bayesian belief network, random forest, gradient boosting machine, and decision trees have been used to develop decision-support tools in other clinical settings. Opioid abuse is a problem among civilians and military service members, and it is diffic...
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| Опубликовано в: : | Clin Orthop Relat Res |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wolters Kluwer
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7310396/ https://ncbi.nlm.nih.gov/pubmed/32282466 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/CORR.0000000000001251 |
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