使用机器学习方法研究血液因子和血液中的HDL-C水平之间的关系
Somayeh Ghiasi Hafezi1,2, Marzieh Hosseini3, Mahtab Panahi4
1Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
血液性炎症显著影响高密度脂蛋白胆固醇 (HDL-C) 的水平. 中性粒细胞与淋巴细胞的比率 (NHR) 和淋巴细胞与高密度脂蛋白胆固醇的比率 (LHR) 是关键预测因素,为心脏代谢健康提供了洞察力.
科学领域:
- 生物化学 生物化学
- 心血管健康 心血管健康
- 数据科学数据科学数据科学
背景情况:
- 研究血脂成分与代谢障碍之间的联系.
- 专注于高密度脂蛋白胆固醇 (HDL-C) 及其对心血管健康的重要性.
- 探讨了各种血液因素如何影响HDL-C水平.
研究的目的:
- 为了确定性别特异性血液学预测器的HDL-C水平.
- 探索血液炎症和HDL-C平衡之间的关系.
- 为了解心脏代谢疾病中炎症通路的病理生理学作用提供见解.
主要方法:
- 使用了9704名参与者的数据集,这些参与者的HDL-C水平正常和低.
- 采用了数据挖掘技术,包括后勤回归 (LR),决策树 (DT),随机森林 (RF),K-最近邻居 (KNN),XGBoost (XGB) 和神经网络 (NN).
- 使用DT确定了HDL-C的预测模型,并通过SHAP分析证实了预测者的重要性.
主要成果:
- 已经确定了高血压胆固醇-C的性别特异性血液学预测因素.
- 后勤回归在测试模型中显示出最高的性能.
- 中性粒细胞与高密度脂蛋白胆固醇比率 (NHR) 和淋巴细胞与高密度脂蛋白胆固醇比率 (LHR) 分别是男性和女性的关键预测指标,以及LYM,NEUT和WBC.
结论:
- 血液炎症在HDL-C平衡中起作用.
- 在炎症,HDL-C水平和心脏代谢健康之间存在复杂的相互作用.
- 调节血液炎症可能是预防或治疗心脏代谢疾病的策略.
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