离散的蝶优化算法用于快速确定胆固醇的变量选择,靠近红外光谱学
Xihui Bian1,2,3, Zizhen Zhao1, Jianwen Liu1
1State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin, 300387, China. bianxihui@163.com.
Analytical methods : advancing methods and applications
|October 2, 2023
概括
一种使用离散的蝶优化算法与部分最小方程 (BOA-PLS) 和近红外 (NIR) 光谱的新方法可以快速确定血液中的胆固醇. 这种BOA-PLS方法在评估心血管疾病风险时,与其他可变选择技术相比,提供了更高的预测准确度.
科学领域:
- 分析化学 分析化学
- 生物医学工程 生物医学工程
- 频谱学是一种光谱学.
背景情况:
- 血中的胆固醇水平是心血管疾病的重要危险因素.
- 准确和快速的血胆固醇测定对于临床诊断至关重要.
- 现有的胆固醇测量方法可能耗时或需要复杂的样本准备.
研究的目的:
- 开发和验证一种新的,快速的方法来确定血液中的胆固醇度.
- 为了评估一个离散的蝶优化算法-部分最小平方 (BOA-PLS) 与近红外 (NIR) 光谱学相结合的有效性.
- 将拟议的BOA-PLS方法的性能与各种已建立的化学测量技术进行比较.
主要方法:
- 离散的蝶优化算法 (BOA) 用于近红外 (NIR) 光谱数据中的变量选择.
- 研究了四个转移函数 (角,V形,I-atan,I-V) 用于分辨蝶位置.
- 部分最小平方 (PLS) 回归被用来构建使用选择的NIR变量来预测胆固醇度的预测模型.
主要成果:
- 改进的V形 (I-V) 传输函数在BOA中显示了变量离散的最佳性能.
- 拟议的I-V-BOA-PLS方法实现了比传统的统计变量选择方法更高的预测准确度.
- 结合多倍散射校正和最大最小缩放 (MSC-MMS) 进一步提高了I-V-BOA-PLS模型的预测能力.
结论:
- BOA-PLS方法,特别是I-V转移函数和MSC-MMS预处理,是快速量化血液胆固醇的高效工具.
- 这种方法在常规临床应用中显示出显著的前景,能够更快地评估心血管疾病风险.
- 这项研究强调了化学测量的先进优化算法的潜力,以改善光谱分析.
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