@inproceedings{14bf952eb7ba4e60a6af4117ebf5fa07,
title = "Discrimination of inflammatory bowel disease using Raman spectroscopy and linear discriminant analysis methods",
abstract = "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.",
keywords = "Crohn's Colitis, feature selection, Inflammatory Bowel Disease, multivariate analysis, Raman spectroscopy, Ulcerative Colitis",
author = "Hao Ding and Ming Cao and Dupont, {Andrew W.} and Scott, {Larry D.} and Sushovan Guha and Shashideep Singhal and Mamoun Younes and Isaac Pence and Alan Herline and David Schwartz and Hua Xu and Anita Mahadevan-Jansen and Xiaohong Bi",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Biomedical Vibrational Spectroscopy 2016: Advances in Research and Industry ; Conference date: 13-02-2016 Through 14-02-2016",
year = "2016",
doi = "10.1117/12.2225299",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Anita Mahadevan-Jansen and Wolfgang Petrich",
booktitle = "Biomedical Vibrational Spectroscopy 2016",
}