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Updated: Sep 12, 2025

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数据采样技术的比较,用于预测神经外科手术中的术后 Delirium

Sora An1, Eun Mi Kim1, Hyngbok Lee1

  • 1Seoul National University Hospital, Nursing Department.

Studies in health technology and informatics
|August 8, 2025
PubMed
概括

这项研究开发了一种XGBoost模型,用于预测神经外科患者的术后妄想. SMOTETomek采样方法实现了高准确度,识别了早期检测和预防的关键风险因素.

关键词:
数据采样数据采样机器学习 机器学习预测模型的预测模型

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Various sedation levels offer significant advantages in facilitating procedural interventions for patients undergoing medical or invasive surgical procedures. These levels span from anxiolysis to general anesthesia, providing a spectrum of sedative effects to cater to specific patient needs. Anxiolysis reduces anxiety and is achieved through minimal sedation, enabling patients to remain awake and responsive while feeling more at ease during the procedure. This level can benefit minor...
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