计算机应用与软件2025，Vol.42Issue(4)：142-149,8.DOI:10.3969/j.issn.1000-386x.2025.04.022
基于多模态特征集成算法的CID患者识别研究
RESEARCH ON CID PATIENT CLASSIFICATION BASED ON MULTIMODAL FEATURE INTEGRATION ALGORITHM
摘要
Abstract
At present,the number of patients withchronic insomnia disorder(CID)is increasing year by year.Timely diagnosis can effectively avoid the aggravation of symptoms of CID patients.Magnetic resonance imaging(MRI)technology combined with a classification algorithm can be used to identify CID patients.The traditional MRI data classification algorithm is based on single-mode feature SVM algorithm,but this algorithm has poor effect on CID patient data classification.Therefore,a CID patient recognition algorithm based on multimodal feature integration is proposed to achieve better results.The multimodal feature integration algorithm mapped multimodal features based on resting-state functional MRI technology and used the integration algorithm for classification and comparison experiments.The experimental results show that,compared with the traditional MRI classification algorithm,the multimodal feature integration algorithm has better classification effect on CID patient data,and can effectively identify CID patients,to carry out relevant medical auxiliary diagnosis.关键词
慢性失眠/患者分类/MRI/多模态特征/集成分类器Key words
Chronic insomnia/Patient classification/MRI/Multimodal feature/Ensemble classifier分类
信息技术与安全科学引用本文复制引用
周文俊,欧静,龚亮,彭博..基于多模态特征集成算法的CID患者识别研究[J].计算机应用与软件,2025,42(4):142-149,8.基金项目
国家自然科学基金项目(82001803) （82001803）
四川省科技厅应用基础研究计划项目(2020YJ0197) （2020YJ0197）
成都市科技局项目(2021-YF05-00247-SN). （2021-YF05-00247-SN）
