LSTM deep learning model for Alzheimer’s disease prediction based on cost-effective time series cognitive scores-Reference-Cited by-同舟云学术

LSTM deep learning model for Alzheimer’s disease prediction based on cost-effective time series cognitive scores

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)
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Author:

Saleh Hager¹,El-Rashidy Nora²,Abuhmed Tamer³,El-Sappagh Shaker³

Affiliation:

1. South Valley University,Faculty of Computers and Artificial Intelligence,Hurghada,Egypt

2. Kafrelsheiksh University,Faculty of Artificial Intelligence,Machine Learning and Information Retrieval Department

3. Sungkyunkwan University,College of Computing and Informatics,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296538/10296540/10296640.pdf?arnumber=10296640

Reference32 articles.

1. Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer’s Disease in AIBL Data: Group and Individual Analyses

2. Cerebrospinal fluid biomarkers in Alzheimer's disease: Diagnostic accuracy and prediction of dementia

3. Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

4. Trustworthy artificial intelligence in alzheimer’s disease: state of the art, opportunities, and challenges;el-sappagh;Artificial Intelligence Review,2023

5. Ensemble Learning Based on Hybrid Deep Learning Model for Heart Disease Early Prediction

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