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...
| Publicado en: | Clinical Orthopaedics & Related Research® Vol. 478; no. 7; pp. 1603 - 1619 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jul2020
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| Acceso en línea: | Ver este registro en EBSCOhost |