Classification of Alzheimer’s Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data-Reference-Cited by-同舟云学术

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Classification of Alzheimer’s Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Joint Conference on Computational Intelligence
language:
Short-container-title:

Author:

Almubark Ibrahim¹,Alsegehy Samah²,Jiang Xiong³,Chang Lin-Ching¹

Affiliation:

1. Department of Electrical Engineering and Computer Science, Catholic University of America, Washington, DC, U.S.A., --- Select a Country ---

2. Department of Computer Science and Engineering, Penn State University, University Park, PA, U.S.A., --- Select a Country ---

3. Department of Neuroscience, Georgetown University Medical Center, Washington, DC, U.S.A., --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-based tool for early detection of Alzheimer's disease;Heliyon;2024-04

2. Evaluating the Efficiency of Multilayer Perceptron Neural Network Architecture in Classifying Cognitive Impairments Related to Human Bipedal Spatial Navigation;Digital Technologies and Applications;2023

3. Prediction of Medical Conditions Using Machine Learning Approaches: Alzheimer’s Case Study;Mathematics;2022-05-22

4. A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's Disease;Frontiers in Aging Neuroscience;2020-12-03

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