中国医科大学学报2023，Vol.52Issue(12)：1113-1118,6.DOI:10.12007/j.issn.0258-4646.2023.12.010
应用拉曼光谱技术对伴2型糖尿病慢性牙周炎患者龈下菌斑的研究
Distinguishing subgingival plaques of patients with chronic periodontitis and type 2 diabetes mellitus based on Raman spectroscopy
摘要
Abstract
Objective The aim of this study is to combine Raman spectroscopy and machine learning techniques to distinguish subgin-gival plaques among three groups of subjects,including patients with chronic periodontitis(CP)and type 2 diabetes mellitus(T2DM),patients with CP alone,and healthy controls.Methods The Raman spectra of the subgingival plaques from 20 patients with CP and T2DM(group A),23 patients with CP alone(group B),and 23 healthy controls(group C)were obtained using a portable Raman spec-trometer.Eight common machine learning algorithms were applied to build models to distinguish the Raman spectra of the three types of subgingival plaques.Results The model identified as optimal for distinguishing the three types of subgingival plaques was linear discri-minant analysis(LDA).The optimal model to distinguish groups A and B is LDA,groups A and C is extra trees(ET),and groups B and C group is LDA.Conclusion The proposed classification model based on Raman spectroscopy and machine learning algorithms can dis-tinguish subgingival plaques among patients with CP and T2DM,with CP alone,and healthy controls.This technique can be used in future clinical practice as a screening or diagnostic tool.关键词
慢性牙周炎/2型糖尿病/龈下菌斑/拉曼光谱/机器学习算法Key words
chronic periodontitis/type 2 diabetes mellitus/subgingival plaque/Raman spectroscopy/machine learning algorithm分类
医药卫生引用本文复制引用
张娟,刘依萍,曹士盛,李欣,董晓曦,李宏霄..应用拉曼光谱技术对伴2型糖尿病慢性牙周炎患者龈下菌斑的研究[J].中国医科大学学报,2023,52(12):1113-1118,6.基金项目
天津市教委社会科学重大项目(2019JWZD53) （2019JWZD53）
