Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

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Machine Learning-Based Early Detection of Alzheimer’s Disease: A Comparative Analysis of Classification Models

Authors
Khushboo Rani1, *, Md. Irfan Alam2
1Research Scholar, Jharkhand Rai University, Ranchi, Jharkhand, India
2Associate Professor, Jharkhand Rai University, Ranchi, Jharkhand, India
*Corresponding author. Email: Khushboo20rani@gmail.com
Corresponding Author
Khushboo Rani
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_26How to use a DOI?
Keywords
Alzheimer’s disease; Healthcare; Machine learning; OASIS
Abstract

Alzheimer’s disease is an irreversible neural disease that causes memory loss over time. In older adults, it is one of the main causes of dementia. As the elderly population grows, memory and physical impairments are becoming more common, creating significant social, financial, and economic impacts. Although there is currently no treatment for AD, symptoms can be significantly alleviated with early detection and treatment, which lessens patient sufferings and memory loss. Several machine learning (ML) methods are employed in the study like Random Forest, Logistic Regression, Decision Tree, AdaBoost, Support Vector Machine and Voting classifiers to detect AD. OASIS dataset is used for the purpose of training the model. Performance of model is assessed on the parameters of accuracy, precision, recall and F1 score. According to the classification results, it is found that Logistic Regression and Decision Tree achieved the maximum 96% accuracy.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_26How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Khushboo Rani
AU  - Md. Irfan Alam
PY  - 2025
DA  - 2025/07/17
TI  - Machine Learning-Based Early Detection of Alzheimer’s Disease: A Comparative Analysis of Classification Models
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 318
EP  - 332
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_26
DO  - 10.2991/978-94-6463-787-8_26
ID  - Rani2025
ER  -