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Updated: Feb 4, 2026

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机器学习模型的开发和时间验证,用于预测急诊室临床相关药物调和差异:单中心回顾性研究

Greet Van De Sijpe1, Tuur Schrooten2, Sabrina De Winter3

  • 1KU Leuven Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, KU Leuven, Leuven, Belgium; Pharmacy Department, UZ Leuven, Leuven, Belgium.

International journal of medical informatics
|February 2, 2026
PubMed
概括

机器学习模型在预测急诊室患者的药物差异方面没有超过后勤回归. 后勤回归提供了类似的预测准确度,在药物调和中具有更好的解释性.

关键词:
临床决策支持 临床决策支持应急部门的紧急情况部门.后勤回归的逻辑回归机器学习是机器学习.药物调和 药物调和 药物调和预测模型的预测模型.预测建模的预测建模.

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