A random forest algorithm-based prediction model for moderate to severe acute postoperative pain after orthopedic surgery under general anesthesia.
Background: Postoperative pain is one of the most common complications after surgery. In order to detect early and intervene in time for moderate to severe postoperative pain, it is necessary to identify risk factors and construct clinical prediction models. This study aimed to identify significant...
| Publicado en: | BMC Anesthesiology Vol. 23; no. 1; pp. 1 - 14 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
BioMed Central
11/6/2023
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| Acceso en línea: | Ver este registro en EBSCOhost |