使用双重原子因子对测量COVID-19患者的分类和严重程度进展
Teng Chen1, Paweł Polak1, Stanislav Uryasev1
1Department of Applied Math & Statistics, Stony Brook University, Stony Brook, NY, USA.
Journal of applied statistics
|August 2, 2023
概括
识别血液中的特定生物标志物对可以准确预测严重的COVID-19 (冠状病毒疾病2019) 进展. 这些分子标记物,在非线性转换后,为早期检测和患者管理提供了具有成本效益的查工具.
科学领域:
- 发现生物标志物的发现.
- 在COVID-19研究中,研究人员进行了COVID-19的研究.
- 分子诊断学 分子诊断学
背景情况:
- 早期检测和治疗严重的COVID-19仍然是关键的挑战.
- 分析患者血液中的分子变化提供了一个有希望的诊断途径.
研究的目的:
- 确定有效的生物标志物对,用于分类和预测严重的COVID-19病例.
- 开发一种具有成本效益的测试,用于患者查和严重性预测.
主要方法:
- 对蛋白质组,代谢组,脂质组和转录组数据的分析.
- 在选定的生物标志物对中应用非线性线转换.
- 在独立数据集上使用样本内,交叉验证和样本外分析进行验证.
- 阶层分类以确定互补的生物标志物对.
主要成果:
- 鉴定具有高分类和预测准确度的特定生物标志物对,用于严重的COVID-19.
- 根据验证数据,AUC (曲线下的面积) 达到了96-98%.
- 在多个独立数据集中证明了有效性.
结论:
- 经过非线性转换后,选择的生物标志物对可以可靠地预测严重的COVID-19.
- 这些发现支持开发一种具有成本效益的诊断测试,用于早期患者查和严重性评估.
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