Automated Alzheimer’s Disease Diagnosis

K. Saraswathi, N. T. Renukadevi, Harita T, Neha Parveen N, Vibinikha E M

2025

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and the accumulation of beta-amyloid plaques and tau protein tangles in the brain, leading to neuronal dysfunction and eventual cell death. This research aims to develop a computer-aided diagnostic system utilizing machine learning algorithms to analyze clinical data and identify indicators of Alzheimer’s disease. The project involves data collection, algorithm development, and rigorous testing to ensure accuracy and reliability. Algorithms such as K Nearest Neighbor, Neural Network, Gradient Boosting Machine, Decision Tree, Random Forest, and CatBoost are employed to enhance diagnostic precision. Hyperparameter tuning and an ensemble model with a Voting Classifier will further improve accuracy. The objective is to deliver a user-friendly system that provides comprehensive reports, enabling healthcare professionals to make informed decisions. This system strives to improve diagnostic accuracy, ensuring its practical utility in healthcare environments by leveraging advanced machine learning techniques.

Paper Citation

in Harvard Style

Saraswathi K., Renukadevi N., T H., N N. and E M V. (2025). Automated Alzheimer’s Disease Diagnosis. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 113-122. DOI: 10.5220/0013588000004664

in Bibtex Style

@conference{incoft25,
author={K. Saraswathi and N. T. Renukadevi and Harita T and Neha Parveen N and Vibinikha E M},
title={Automated Alzheimer’s Disease Diagnosis},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={113-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013588000004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Automated Alzheimer’s Disease Diagnosis
SN - 978-989-758-763-4
AU - Saraswathi K.
AU - Renukadevi N.
AU - T H.
AU - N N.
AU - E M V.
PY - 2025
SP - 113
EP - 122
DO - 10.5220/0013588000004664
PB - SciTePress