论文标题
在完整的血细胞计测试中，用于微调异常水平的决策工具
A decision-making tool to fine-tune abnormal levels in the complete blood count tests
论文作者
论文摘要
自动血液学分析仪执行的全血细胞计数（CBC）是有序的实验室测试之一。它是评估患者一般健康状况或诊断和监测疾病进展的一线工具。当分析不符合预期设置时，技术人员会使用显微镜手动检查血液涂片。国际血液学共识小组于2005年发表了一套审查CBC的标准。通常，在本地需要进行调整以说明实验室资源和人口特征。我们的目标是提供一个决策支持工具，以确定哪些CBC变量与较高的异常涂片风险以及哪些截止值相关。我们提出了一种成本敏感的套索添加物逻辑回归，并结合了稳定性选择。使用模拟和真实的CBC数据，我们证明我们的工具可以正确识别真正的截止值，前提是他们附近有足够的可用数据。
The complete blood count (CBC) performed by automated hematology analyzers is one of the most ordered laboratory tests. It is a first-line tool for assessing a patient's general health status, or diagnosing and monitoring disease progression. When the analysis does not fit an expected setting, technologists manually review a blood smear using a microscope. The International Consensus Group for Hematology Review published in 2005 a set of criteria for reviewing CBCs. Commonly, adjustments are locally needed to account for laboratory resources and populations characteristics. Our objective is to provide a decision support tool to identify which CBC variables are associated with higher risks of abnormal smear and at which cutoff values. We propose a cost-sensitive Lasso-penalized additive logistic regression combined with stability selection. Using simulated and real CBC data, we demonstrate that our tool correctly identify the true cutoff values, provided that there is enough available data in their neighbourhood.
