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Updated: Jun 24, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
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Published on: November 29, 2024

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多变异异常检测模型提高了在常规临床化学测试中的错误的识别

Christopher J L Farrell1

  • 1Department of Chemical Pathology, NSW Health Pathology, Level 1, Pathology Building, 34378 Liverpool Hospital , Liverpool, NSW, Australia.

Clinical chemistry and laboratory medicine
|June 12, 2024
PubMed
概括

与传统方法相比,多变异异常检测模型,如k-最近邻近 (KNN) 距离,显著提高了检测血清污染和单个分析器错误的性能. 这提高了实验室自验准确性和患者安全.

关键词:
检测异常检测异常检测自动验证 自动验证自动验证 自动验证样品污染的污染情况

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