干旱区生态环境知识资源中心(Arid): Multi-Method Analysis of Medical Records and MRI Images for Early Diagnosis of Dementia and Alzheimer's Disease Based on Deep Learning and Hybrid Methods

Arid

DOI	10.3390/electronics10222860
	Multi-Method Analysis of Medical Records and MRI Images for Early Diagnosis of Dementia and Alzheimer's Disease Based on Deep Learning and Hybrid Methods
	Mohammed, Badiea Abdulkarem; Senan, Ebrahim Mohammed; Rassem, Taha H.; Makbol, Nasrin M.; Alanazi, Adwan Alownie; Al-Mekhlafi, Zeyad Ghaleb; Almurayziq, Tariq S.; Ghaleb, Fuad A.
通讯作者	Mohammed, BA (corresponding author), Univ Hail, Coll Comp Sci & Engn, Dept Comp Engn, Hail 81481, Saudi Arabia. ; Mohammed, BA (corresponding author), Hodeidah Univ, Coll Comp Sci & Engn, Hodiedah 967, Yemen.
来源期刊	ELECTRONICS
EISSN	2079-9292
出版年	2021
卷号	10 期号:22
英文摘要	Dementia and Alzheimer's disease are caused by neurodegeneration and poor communication between neurons in the brain. So far, no effective medications have been discovered for dementia and Alzheimer's disease. Thus, early diagnosis is necessary to avoid the development of these diseases. In this study, efficient machine learning algorithms were assessed to evaluate the Open Access Series of Imaging Studies (OASIS) dataset for dementia diagnosis. Two CNN models (AlexNet and ResNet-50) and hybrid techniques between deep learning and machine learning (AlexNet+SVM and ResNet-50+SVM) were also evaluated for the diagnosis of Alzheimer's disease. For the OASIS dataset, we balanced the dataset, replaced the missing values, and applied the t-Distributed Stochastic Neighbour Embedding algorithm (t-SNE) to represent the high-dimensional data in the low-dimensional space. All of the machine learning algorithms, namely, Support Vector Machine (SVM), Decision Tree, Random Forest and K Nearest Neighbours (KNN), achieved high performance for diagnosing dementia. The random forest algorithm achieved an overall accuracy of 94% and precision, recall and F1 scores of 93%, 98% and 96%, respectively. The second dataset, the MRI image dataset, was evaluated by AlexNet and ResNet-50 models and AlexNet+SVM and ResNet-50+SVM hybrid techniques. All models achieved high performance, but the performance of the hybrid methods between deep learning and machine learning was better than that of the deep learning models. The AlexNet+SVM hybrid model achieved accuracy, sensitivity, specificity and AUC scores of 94.8%, 93%, 97.75% and 99.70%, respectively.
英文关键词	Alzheimer dementia t-SNE algorithm machine learning deep learning hybrid techniques
类型	Article
语种	英语
开放获取类型	gold, Green Accepted
收录类别	SCI-E
WOS记录号	WOS:000723353600001
WOS关键词	CEREBROVASCULAR-DISEASE ; BIOMARKERS ; MODELS
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Physics, Applied
WOS研究方向	Computer Science ; Engineering ; Physics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373784
作者单位	[Mohammed, Badiea Abdulkarem] Univ Hail, Coll Comp Sci & Engn, Dept Comp Engn, Hail 81481, Saudi Arabia; [Mohammed, Badiea Abdulkarem; Makbol, Nasrin M.] Hodeidah Univ, Coll Comp Sci & Engn, Hodiedah 967, Yemen; [Senan, Ebrahim Mohammed] Hajjah Univ, Dept Comp Sci, Hajjah 967, Yemen; [Rassem, Taha H.] Bournemouth Univ, Fac Sci & Technol, Poole BH12 5BB, Dorset, England; [Alanazi, Adwan Alownie; Al-Mekhlafi, Zeyad Ghaleb; Almurayziq, Tariq S.] Univ Hail, Coll Comp Sci & Engn, Dept Informat & Comp Sci, Hail 81481, Saudi Arabia; [Ghaleb, Fuad A.] Univ Teknol Malaysia, Fac Engn, Sch Comp, Johor Baharu 81310, Malaysia
推荐引用方式 GB/T 7714	Mohammed, Badiea Abdulkarem,Senan, Ebrahim Mohammed,Rassem, Taha H.,et al. Multi-Method Analysis of Medical Records and MRI Images for Early Diagnosis of Dementia and Alzheimer's Disease Based on Deep Learning and Hybrid Methods[J],2021,10(22).
APA	Mohammed, Badiea Abdulkarem.,Senan, Ebrahim Mohammed.,Rassem, Taha H..,Makbol, Nasrin M..,Alanazi, Adwan Alownie.,...&Ghaleb, Fuad A..(2021).Multi-Method Analysis of Medical Records and MRI Images for Early Diagnosis of Dementia and Alzheimer's Disease Based on Deep Learning and Hybrid Methods.ELECTRONICS,10(22).
MLA	Mohammed, Badiea Abdulkarem,et al."Multi-Method Analysis of Medical Records and MRI Images for Early Diagnosis of Dementia and Alzheimer's Disease Based on Deep Learning and Hybrid Methods".ELECTRONICS 10.22(2021).