A random forest algorithm-based prediction model for moderate to severe acute postoperative pain after orthopedic surgery under general anesthesia.
Journal Information
Full Title: BMC Anesthesiol
Abbreviation: BMC Anesthesiol
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Anesthesiology
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"Declarations Ethical approvalThe study was approved and monitored by the Ethics Committee of Shanxi Bethune Hospital (Third Hospital of Shanxi Medical University). Statement of human rightsAll procedures in this study were conducted in accordance with the Ethics Committee of Shanxi Bethune Hospital (Third Hospital of Shanxi Medical University) approved protocols. Statement of informed consentInformed consent for patient information to be published in this article was not obtained because of the retrospective nature of the study and the patient’s identity information has been concealed. The requirement for informed consent was waived by the Ethics Committee of Shanxi Bethune Hospital. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."
"Funding This study was supported by the Department of Education of Shanxi Province [2021Y364], and the Key R&D Projects of Shanxi Province [202102130501003] & [201903D311011]."
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Last Updated: Aug 05, 2025