Diagnosis of Alzheimer's disease based on logistic regression algorithm

被引：0
|
作者：
Chen, Yusi [1 ,2 ,3 ]
Liu, Ning [2 ,4 ,5 ]
Chen, PeiKun [6 ]
机构：
[1] Quanzhou Normal Univ, Sch Math & Comp Sci, Quanzhou, Peoples R China
[2] Fujian Prov Key Lab Data Intens Comp, Quanzhou, Peoples R China
[3] Key Lab Intelligent Comp & Informat Proc, Quanzhou, Peoples R China
[4] Hangzhou Normal Univ, Sch Publ Hlth, Hangzhou, Peoples R China
[5] Quanzhou Normal Univ, Dept Math & Comp Sci, Quanzhou, Peoples R China
[6] Xiamen Silicon Field Syst Engn Co Ltd, Xiamen, Peoples R China
来源：
2022 INTERNATIONAL CONFERENCE ON COMPUTING, ROBOTICS AND SYSTEM SCIENCES, ICRSS | 2022年
关键词：
Multiple features; Mild cognitive impairment; Logistic regression; Alzheimer's disease; MILD COGNITIVE IMPAIRMENT; SPONTANEOUS SPEECH;
D O I：
10.1109/ICRSS57469.2022.00023
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Language impairment may be an important early manifestation of dementia. In this study, we propose a multifeature fusion to distinguish MCI and AD patients. In this paper, a set of acoustic, demographic and linguistic features were selected, and after data processing, logistic regression algorithm was used to diagnose MCI and AD patients. In order to get better results, comparative experiments are also effectively conducted, including different combination methods and different group distinctions with the three most popular algorithms. Studies have shown that this method is more advantageous and the classification results are more accurate.
引用
收藏
页码：64 / 67
页数：4
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