通过可解释的数据挖掘,消除COVID-19死亡原因的神秘性.
Xinyu Qian1, Zhihong Zuo2, Danni Xu1
1School of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
Scientific reports
|May 2, 2024
概括
老年COVID-19患者的C-反应蛋白升高,中性粒细胞和淋巴细胞百分比异常,白蛋白低,死亡率更高. 其他因素,如D-二聚合物和白细胞水平,进一步增加了风险.
科学领域:
- 老年学是一门学科.
- 传染性疾病 传染性疾病
- 数据挖掘 数据挖掘
背景情况:
- 老年人仍然非常容易受到严重的COVID-19结果和死亡率的影响.
- 现有的关于老年人COVID-19死亡风险因素的研究缺乏对互动效应的全面分析.
研究的目的:
- 识别和分析导致老年患者COVID-19死亡率的相互作用风险因素.
- 为早期干预和改善患者治疗结果提供数据驱动的见解.
主要方法:
- 对1917名COVID-19患者 (2022年12月 - 2023年3月) 的回顾性分析.
- 在特征提取中应用亲和传播聚类的应用.
- 利用阿普里奥里对关联规则挖掘的算法来识别死亡风险因素组合.
主要成果:
- 确定了与老年人COVID-19死亡率显著增加相关的临床特征的关键组合.
- 患有特定C-反应蛋白,中性粒细胞,淋巴细胞和白蛋白水平升高的患者的死亡率增加了2倍.
- 包括D-二次体和白细胞 (WBC) 计数的增加增加了死亡风险的3-4倍.
- 以前存在的肝脏和脏疾病与高达100%的死亡率有关.
结论:
- 实验室值和并发症的特定组合是老年人COVID-19死亡率的关键预测因素.
- 这些发现支持针对高风险老年COVID-19患者开发有针对性的干预措施和辅助诊断工具.
- 早期识别和管理这些风险因素可以显著降低死亡率.
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