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   early detection of alzheimer's disease based on clinical trials, three-dimensional imaging data, and personal information using autoencoders  
   
نویسنده akramifard hamid ,balafar mohammad ali ,razavi naser ,ramli abd rahman
منبع journal of medical signals and sensors - 2021 - دوره : 11 - شماره : 2 - صفحه:120 -130
چکیده    Background: a timely diagnosis of alzheimer's disease (ad) is crucial to obtain more practical treatments. in this article, a novel approach using auto-encoder neural networks (aenn) for early detection of ad was proposed. method: the proposed method mainly deals with the classification of multimodal data and the imputation of missing data. the data under study involve the minimental state examination, magnetic resonance imaging, positron emission tomography, cerebrospinal fluid data, and personal information. natural logarithm was used for normalizing the data. the auto-encoder neural networks was used for imputing missing data. principal component analysis algorithm was used for reducing dimensionality of data. support vector machine (svm) was used as classifier. the proposed method was evaluated using alzheimer's disease neuroimaging initiative (adni) database. then, 10-fold crossvalidation was used to audit the detection accuracy of the method. results: the effectiveness of the proposed approach was studied under several scenarios considering 705 cases of adni database. in three binary classification problems, that is ad vs. normal controls (ncs), mild cognitive impairment (mci) vs. nc, and mci vs. ad, we obtained the accuracies of 95.57%, 83.01%, and 78.67%, respectively. conclusion: experimental results revealed that the proposed method significantly outperformed most of the stateoftheart methods.
کلیدواژه alzheimer’s disease ,autoencoders ,cerebrospinal fluid ,early detection ,magnetic resonance imaging ,mini‑mental state examination ,missing data ,positron emission tomography
آدرس university of tabriz, faculty of electrical and computer engineering, department of software engineering, iran, university of tabriz, faculty of electrical and computer engineering, department of software engineering, iran, university of tabriz, faculty of electrical and computer engineering, department of software engineering, iran, university putra malaysia, faculty of engineering, department of software engineering, malaysia
پست الکترونیکی arr302002@yahoo.com
 
   Early Detection of Alzheimer's Disease Based on Clinical Trials, Three-Dimensional Imaging Data, and Personal Information Using Autoencoders  
   
Authors
Abstract   
Keywords Alzheimer's disease،
 
 

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