Accelerating Alzheimer's Research with Machine Learning Models for Improved Detection-Reference-Cited by-同舟云学术

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Accelerating Alzheimer's Research with Machine Learning Models for Improved Detection

Published:2023-11-22 Issue: Volume: Page:855-862
ISSN:
Container-title:2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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Author:

G Kavitha¹,Sudha K.²,Jayasutha D.³,Sivaraman V⁴,Nalini M.⁵,Subramanian R. Siva⁶

Affiliation:

1. Rajalakshmi Institute of Technology,Dept of CSE

2. R.M.D Engineering College,Dept of CSBS

3. Hindusthan Institute of Technology,Dept of CSE

4. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Dept of CSE

5. S A Engineering College,Dept of CSE

6. R.M.K. College of Engg and Tech,Dept of CSE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10394672/10394681/10395855.pdf?arnumber=10395855

Reference15 articles.

1. Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

2. Deep and joint learning of longitudinal data for Alzheimer's disease prediction

3. Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia

4. A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease

5. Longitudinal Prediction Modeling of Alzheimer Disease using Recurrent Neural Networks

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