干旱区生态环境知识资源中心(Arid): A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer's Disease

Arid

DOI	10.1155/2021/9917919
	A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer's Disease
	Bari Antor, Morshedul; Jamil, A. H. M. Shafayet; Mamtaz, Maliha; Monirujjaman Khan, Mohammad; Aljahdali, Sultan; Kaur, Manjit; Singh, Parminder; Masud, Mehedi
通讯作者	Masud, M (corresponding author), Taif Univ, Dept Comp Sci, Coll Comp & Informat Technol, POB 11099, At Taif 21944, Saudi Arabia.
来源期刊	JOURNAL OF HEALTHCARE ENGINEERING
ISSN	2040-2295
EISSN	2040-2309
出版年	2021
卷号	2021
英文摘要	Alzheimer's disease has been one of the major concerns recently. Around 45 million people are suffering from this disease. Alzheimer's is a degenerative brain disease with an unspecified cause and pathogenesis which primarily affects older people. The main cause of Alzheimer's disease is Dementia, which progressively damages the brain cells. People lost their thinking ability, reading ability, and many more from this disease. A machine learning system can reduce this problem by predicting the disease. The main aim is to recognize Dementia among various patients. This paper represents the result and analysis regarding detecting Dementia from various machine learning models. The Open Access Series of Imaging Studies (OASIS) dataset has been used for the development of the system. The dataset is small, but it has some significant values. The dataset has been analyzed and applied in several machine learning models. Support vector machine, logistic regression, decision tree, and random forest have been used for prediction. First, the system has been run without fine-tuning and then with fine-tuning. Comparing the results, it is found that the support vector machine provides the best results among the models. It has the best accuracy in detecting Dementia among numerous patients. The system is simple and can easily help people by detecting Dementia among them.
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000679038400001
WOS关键词	DECISION TREE ; DEMENTIA ; PREVALENCE ; CLASSIFICATION ; BURDEN
WOS类目	Health Care Sciences & Services
WOS研究方向	Health Care Sciences & Services
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363908
作者单位	[Bari Antor, Morshedul; Jamil, A. H. M. Shafayet; Mamtaz, Maliha; Monirujjaman Khan, Mohammad] North South Univ, Elect & Comp Engn Dept, Dhaka 1229, Bangladesh; [Aljahdali, Sultan; Masud, Mehedi] Taif Univ, Dept Comp Sci, Coll Comp & Informat Technol, POB 11099, At Taif 21944, Saudi Arabia; [Kaur, Manjit] Bennett Univ, Sch Engn & Appl Sci, Comp Sci Engn, Greater Noida 201310, India; [Singh, Parminder] Lovely Profess Univ, Sch Comp Sci & Engn, Phagwara, India
推荐引用方式 GB/T 7714	Bari Antor, Morshedul,Jamil, A. H. M. Shafayet,Mamtaz, Maliha,et al. A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer's Disease[J],2021,2021.
APA	Bari Antor, Morshedul.,Jamil, A. H. M. Shafayet.,Mamtaz, Maliha.,Monirujjaman Khan, Mohammad.,Aljahdali, Sultan.,...&Masud, Mehedi.(2021).A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer's Disease.JOURNAL OF HEALTHCARE ENGINEERING,2021.
MLA	Bari Antor, Morshedul,et al."A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer's Disease".JOURNAL OF HEALTHCARE ENGINEERING 2021(2021).