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首页> 外文会议>Biomedical vibrational spectroscopy 2016: Advances in research and industry >Discrimination of inflammatory bowel disease using Raman spectroscopy and linear discriminant analysis methods
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Discrimination of inflammatory bowel disease using Raman spectroscopy and linear discriminant analysis methods

机译：使用拉曼光谱和线性判别分析方法鉴别炎症性肠病

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摘要

Inflammatory bowel disease (IBD) is an idiopathic disease that is typically characterized by chronic inflammation of the gastrointestinal tract. Recently much effort has been devoted to the development of novel diagnostic tools that can assist physicians for fast, accurate, and automated diagnosis of the disease. Previous research based on Raman spectroscopy has shown promising results in differentiating IBD patients from normal screening cases. In the current study, we examined IBD patients in vivo through a colonoscope-coupled Raman system. Optical diagnosis for IBD discrimination was conducted based on full-range spectra using multivariate statistical methods. Further, we incorporated several feature selection methods in machine learning into the classification model. The diagnostic performance for disease differentiation was significantly improved after feature selection. Our results showed that improved IBD diagnosis can be achieved using Raman spectroscopy in combination with multivariate analysis and feature selection.
机译：炎症性肠病（IBD）是一种特发性疾病，通常以胃肠道的慢性炎症为特征。最近，人们已经致力于开发新颖的诊断工具，这些工具可以帮助医生快速，准确和自动地诊断疾病。以前基于拉曼光谱的研究表明，将IBD患者与正常筛查患者区分开来的结果令人鼓舞。在当前研究中，我们通过结肠镜耦合拉曼系统在体内检查了IBD患者。使用多变量统计方法基于全光谱对IBD进行光学诊断。此外，我们将机器学习中的几种特征选择方法纳入了分类模型。选择特征后，显着提高了疾病鉴别的诊断性能。我们的结果表明，结合多变量分析和特征选择，可以使用拉曼光谱法改善IBD诊断。

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  • 来源
  • 会议地点 San Francisco CA(US)
  • 作者

    Hao Ding; Ming Cao; Andrew W. DuPont; Larry D. Scott; Sushovan Guha; Shashideep Singhal; Mamoun Younes; Isaac Pence; Alan Herline; David Schwartz; Hua Xu; Anita Mahadevan-Jansen; Xiaohong Bi;

  • 作者单位

    Department of Nanomedicine and Biomedical Engineering, the University of Texas Health Science Center at Houston, 1881 East Road, Houston, Texas 77054;

    Department of Biostatistics, the University of Texas Health Science Center at Houston, 1200 Hermann Pressler Drive, Houston, Texas 77030;

    Department of Internal Medicine, the University of Texas Health Science Center at Houston, 6431 Fannin, Houston, Texas 77030;

    Department of Internal Medicine, the University of Texas Health Science Center at Houston, 6431 Fannin, Houston, Texas 77030;

    Department of Internal Medicine, the University of Texas Health Science Center at Houston, 6431 Fannin, Houston, Texas 77030;

    Department of Internal Medicine, the University of Texas Health Science Center at Houston, 6431 Fannin, Houston, Texas 77030;

    Department of Pathology, the University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, Texas 77030;

    Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, Tennessee 37235;

    Division of Surgery, Vanderbilt University, 1161 21st Avenue South, Nashville, Tennessee 37232;

    Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, 1161 21st Avenue South, Nashville, Tennessee, 37232;

    Center for Computational Biomedicine, the University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, Texas 77030;

    Department of Biomedical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, Tennessee 37235;

    Department of Nanomedicine and Biomedical Engineering, the University of Texas Health Science Center at Houston, 1881 East Road, Houston, Texas 77054;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Inflammatory Bowel Disease; Crohn's Colitis; Ulcerative Colitis; Raman spectroscopy; multivariate analysis; feature selection;

    机译：炎症性肠病；克罗恩氏结肠炎；溃疡性结肠炎;拉曼光谱多元分析功能选择;

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