神经药理学报2025，Vol.15Issue(2)：28-33,6.DOI:10.3969/j.issn.2095-1396.2025.02.006
基于机器学习的阿尔茨海默病健康识别
Health Recognition and Linguistic Analysis of Alzheimer's Disease Based on Machine Learning
摘要
Abstract
Objective:Alzheimer disease(AD)is a neurodegenerative disorder.It usually relies on the working experience of doctors and a better method of using the simple neurological test scale for the diagnosis of AD in the Clinic.Methods:In this study,we use the Coh-Metrix language analysis tool to diagnose AD patients from healthy people by extracting the key features of linguistics,including statements complexity,lexical semantics richness and continuity,etc.,finally we use support vector machine(SVM)to do the text classification.Results:It was found that there are significant differences in certain specific linguistic features between the healthy population and AD patients.These features have a certain discriminatory ability for disease recognition.Finally,the accuracy rate of the model is 0.79 which achieves a good result.Conclusion:As a result,the study provides valuable clues and evidence based on the linguistic features to identify AD patients which helps to early diagnosis and intervention of AD based on linguistic features.关键词
阿尔茨海默病/Coh-Metrix/健康识别/文本分类/机器学习Key words
Alzheimer's disease/Coh-Metrix/health identification/text classification/machine learning分类
医药卫生引用本文复制引用
刘宁,蒋一宁,李轩昂,李兆丰,孙倩..基于机器学习的阿尔茨海默病健康识别[J].神经药理学报,2025,15(2):28-33,6.基金项目
2023年大学生创新创业项目(No.2023cxcy103、No.2023cxcy110),2024年国家级大学生创新创业项目,2024年浙江省教育厅科研项目(No.Y202454315) （No.2023cxcy103、No.2023cxcy110）
