Alzheimer Disease Prediction Using Recursive Feature Elimination and Artificial Neural Network-Reference-Cited by-同舟云学术

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Alzheimer Disease Prediction Using Recursive Feature Elimination and Artificial Neural Network

Published:2023-09-01 Issue: Volume: Page:
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Container-title:2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
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Author:

Balakrishnan D.¹,Mariappan Umasree²,Sai Prudhvi Bodempudi¹,Saikumar Patha¹,Mohan Mahesh Boggavarapu¹,Mani Sai Polisetty¹

Affiliation:

1. Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering,Krishnankoil,TamilNadu,India,626126

2. Sri Vidya College of Engineering and Technology,Department of Computer Science and Engineering,Virudhunagar,TamilNadu,India,626005

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275783/10275784/10276170.pdf?arnumber=10276170

Reference15 articles.

1. Alzheimer's disease prediction using machine learning techniques and principal component analysis (PCA);sudharsan;Mater Today Proc,2021

2. Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion

3. Feature selection using efficient fusion of Fisher Score and greedy searching for Alzheimer's classification;kp;J King Saud Univ -Comput Inf Sci,2022

4. Development of a three tiered cognitive hybrid machine learning algorithm for effective diagnosis of Alzheimer’s disease

5. Volumetric Feature-Based Alzheimer’s Disease Diagnosis From sMRI Data Using a Convolutional Neural Network and a Deep Neural Network

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