大数据和参考间隔:理由,当前做法,协调和标准化先决条件以及使用常规数据间隔间接确定参考间隔的未来前景
Luisa Martinez-Sanchez1,2,3, Fernando Marques-Garcia4, Yesim Ozarda5
1Clinical Biochemistry Department, Vall d'Hebron University Hospital, Barcelona, Spain.
Advances in laboratory medicine
|June 26, 2023
概括
这篇评论探讨了大数据.
科学领域:
- 临床化学 临床化学
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
背景情况:
- 参考间隔对于临床决策至关重要.
- 目前建立参考间隔的方法正在不断发展.
- 大数据的整合带来了新的机遇和挑战.
研究的目的:
- 提供大数据在确定参考区间中的作用的概述.
- 讨论当前的做法,统计方法和数据质量先决条件.
- 探索使用常规实验室数据进行间接确定的未来前景.
主要方法:
- 对参考区间确定中的"大数据"应用的文献综述.
- 对间接估计的统计方法的分析.
- 讨论数据质量要求,包括协调和标准化.
主要成果:
- 大数据为更强大,更动态的参考间隔提供了潜力.
- 数据质量,协调和标准化对于可靠的结果至关重要.
- 使用常规数据的间接确定是一个有希望的未来方向.
结论:
- 大数据方法可以提高参考间隔的实用性.
- 解决数据质量问题对于成功实施至关重要.
- 未来的研究应该专注于验证间接方法的更广泛应用.
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