Flexible Stacked Partial Least Squares for Mid-Infrared Spectroscopy Glucose Detection

Author:

Zhu Sicong1,Gu Hanwen2,Zhang Zhushanying1,Sa Jiming3,Zheng Dongyun1,Cao Huimin1,Xie Qinlan1

Affiliation:

1. South-Central MinZu University, the Key Laboratory of Cognitive Science of the State Ethnic Affairs Commission, and the Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis Treatment

2. Wuhan University of Technology

3. Wuhan University of Technology and the Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis Treatment

Abstract

In this work, we propose a data fusion regression approach for quantitative analysis of glucose using mid-infrared (IR) spectra. First, the approach computes the variable score index. Several submodels are then generated in terms of the index from the calibration set. Finally, the ensembled regression model is created by combining these submodels. In addition, five different regression approaches from the literature are comparatively assessed. Our research shows that one model proposed achieves good performance (with a correlation coefficient of 0.94). our conclusion is that the data fusion model can provide an accurate and robust prediction result for IR glucose measurements.

Publisher

Multimedia Pharma Sciences, LLC

Subject

Spectroscopy,Atomic and Molecular Physics, and Optics,Analytical Chemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3