Intelligent Mobile Application for Alzheimer’s Detection and Patient’s Life Management

Bajalan, Dilena Majid; Croock, Muayad Sadik

doi:https://doi.org/10.33103/2617-3352.1515

	Intelligent Mobile Application for Alzheimer’s Detection and Patient’s Life Management
IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING
Volume 26, Issue 1, April 2026 PDF (11.07 M)
Document Type: Research Paper
DOI: https://doi.org/10.33103/2617-3352.1515
Authors
Dilena Majid Bajalan^* ¹; Muayad Sadik Croock²
¹Control and Systems Engineering collage, University of Technology-Iraq, Baghdad, Iraq
²Control and Systems Engineering Department
Abstract
The defining feature of Alzheimer's disease (AD) is a gradual decline in symptoms over several years. This decline reduces the effectiveness of daily routines and leads to memory loss. Among the challenges posed by memory loss are difficulties in remembering names, faces, locations, and other important details. This study introduces an intelligent mobile application designed to assist in managing a patient's daily life, with an emphasis on routine activities and monitoring episodes of memory loss. Additionally, the application aims to detect Alzheimer's disease (AD) using a proposed deep learning model. The suggested Convolutional Neural Network (CNN) deep learning model is trained on a dataset of 11000 magnetic resonance imaging MRI scan images from Kaggle opensource website and has achieved 98% accuracy in detecting Alzheimer's from MRI scans. This application demonstrates effective performance in the realm of AD's detection , patient's life management and reducing the financial strain on the relatives of patients.
Keywords
Alzheimer disease; CNN; AI; Mobile application; Deep Learning in Healthcare

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