Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING
PaperId: :  22442
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 1 2024
DUI:    16.0415/IJARIIE-22442
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prem Prakash TripathiINSTITUTE OF TECHNOLOGY AND MANAGEMENT GORAKHPUR
Rishabh GuptaINSTITUTE OF TECHNOLOGY AND MANAGEMENT GORAKHPUR
Sejal SinghINSTITUTE OF TECHNOLOGY AND MANAGEMENT GORAKHPUR
Sahil Kumar RawatINSTITUTE OF TECHNOLOGY AND MANAGEMENT GORAKHPUR

Abstract

Computer Engineering
Detection, Prediction, Analysis
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that poses a significant challenge to public health. Early and accurate detection of AD is crucial for effective intervention and management. This study proposes a novel approach for Alzheimer's detection utilizing deep learning techniques applied to medical imaging data. The research focuses on the development of a deep neural network architecture tailored for the analysis of neuroimaging data, such as magnetic resonance imaging (MRI) and positron emission tomography (PET) scans. The proposed model leverages the power of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to capture spatial and temporal patterns in brain images, respectively. To enhance the robustness and generalization of the model, transfer learning techniques are employed, utilizing pre-trained neural networks on large-scale datasets. The dataset used for training and evaluation comprises a diverse collection of images from individuals with varying degrees of cognitive impairment, including those with preclinical symptoms and healthy controls. The evaluation of the proposed deep learning model is conducted on a separate test dataset, demonstrating promising results in terms of sensitivity, specificity, and overall accuracy. Additionally, the model's interpretability is explored through visualization techniques to identify key regions and features contributing to the classification.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Prem Prakash Tripathi, Rishabh Gupta, Sejal Singh, and Sahil Kumar Rawat. "ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 1 2024 Page 402-408
MLA Prem Prakash Tripathi, Rishabh Gupta, Sejal Singh, and Sahil Kumar Rawat. "ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10.1(2024) : 402-408.
APA Prem Prakash Tripathi, Rishabh Gupta, Sejal Singh, & Sahil Kumar Rawat. (2024). ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 10(1), 402-408.
Chicago Prem Prakash Tripathi, Rishabh Gupta, Sejal Singh, and Sahil Kumar Rawat. "ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 1 (2024) : 402-408.
Oxford Prem Prakash Tripathi, Rishabh Gupta, Sejal Singh, and Sahil Kumar Rawat. 'ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 1, 2024, p. 402-408. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ALZHEIMER_S_DISEASE_DETECTION_USING_DEEP_LEARNING_ijariie22442.pdf (Accessed : 17 March 2024).
Harvard Prem Prakash Tripathi, Rishabh Gupta, Sejal Singh, and Sahil Kumar Rawat. (2024) 'ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 10(1), pp. 402-408IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ALZHEIMER_S_DISEASE_DETECTION_USING_DEEP_LEARNING_ijariie22442.pdf (Accessed : 17 March 2024)
IEEE Prem Prakash Tripathi, Rishabh Gupta, Sejal Singh, and Sahil Kumar Rawat, "ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 1, pp. 402-408, Jan-Feb 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/ALZHEIMER_S_DISEASE_DETECTION_USING_DEEP_LEARNING_ijariie22442.pdf [Accessed : 17 March 2024].
Turabian Prem Prakash Tripathi, Rishabh Gupta, Sejal Singh, and Sahil Kumar Rawat. "ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 1 (17 March 2024).
Vancouver Prem Prakash Tripathi, Rishabh Gupta, Sejal Singh, and Sahil Kumar Rawat. ALZHEIMER'S DISEASE DETECTION USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 17 March 2024]; 10(1) : 402-408. Available from: https://ijariie.com/AdminUploadPdf/ALZHEIMER_S_DISEASE_DETECTION_USING_DEEP_LEARNING_ijariie22442.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 3/17/2024 2:59:40 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
Deligro: A Dual-Purpose Web Platform for Food Ordering and Leftover Food Donation ManagementComputer Science EngineeringRakesh Reddy K Download
12