论文标题
排除标准对血液测试值分布的影响
Effect of exclusion criteria on the distribution of blood test values
论文作者
论文摘要
对个性化医疗保健的需求不断增长，这使人们期望对人类疾病状态进行个性化的定量评估。但是，这尚未以足够低的成本实现。我们的最终目标是确定健康检查中常用的最准确的血液测试分布。在这项研究中，我们使用带有三个参数的对数正态分布量化了基于四个数据集的估计分布之间的差异，并分析了差异的原因。我们专注于差异的两个原因：用于估计分布的排除标准和分布。我们比较了每个实验室测试的数据集的预期值。我们还定量评估了与排除标准相对应的估计分布形状的差异。我们发现排除标准对血液测试值的分布形状具有重要影响。
The increasing demand for personalized health care has led to the expectation that individualized quantitative evaluation of human disease states is possible. However, this has not yet been achieved at a sufficiently low cost. Our ultimate goal is to determine the most accurate distributions of blood tests commonly used in health checkups. In this study, we quantified differences between the estimated distributions based on four datasets using the lognormal distribution with three parameters and analyzed the cause of the differences. We focused on two causes of differences: the exclusion criteria and distribution used for estimation of distributions. We compared the expected values across datasets for each laboratory test. We also quantitatively evaluated differences in the shape of the estimated distribution corresponding to the exclusion criteria. We found that exclusion criteria have an important influence on the shape of the distribution for blood test values.
