Pattern Recognition Methods Combined with Raman Spectra Applied to Distinguish Serums from Lung Cancer Patients and Healthy People

• 作者: Kenan Huang Mingjing Jia Xiangchao Zeng Yankun Li Zhichao Bai
• 来源期刊: 生物科学与医学(英文)
• 学科: 医学
• 关键词: RAMAN SPECTROSCOPY PATTERN Recognition LUNG Cancer Identification Serum
• 年，卷（期）: 2017,（9）
• 页码范围: 95-105
• 页数: 11页
• 分类号: R73

摘要

Raman spectroscopy was used to distinguish the serums from lung cancer patients and healthy people, through spectral pretreatment method combined with pattern recognition methods including principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), un-correlated linear discriminant analysis (ULDA), etc. Through the comparisons of the results, it can be found that ULDA and LDA combined with multiple scatter correction (MSC) pretreatment method successfully distinguish the patients of lung cancer and healthy people. The method has academic significance and promising clinical application value.