Artificial intelligence techniques for the effective diagnosis of Alzheimer's disease: a review

K Aditya Shastry, HA Sanjay - Multimedia Tools and Applications, 2024 - Springer
Alzheimer's disease (AD) is a progressive and irreversible neurological disorder that leads
to memory loss and cognitive decline. It is a prevalent form of dementia among individuals …

Smart solutions for detecting, predicting, monitoring, and managing dementia in the elderly: A survey

S Addae, J Kim, A Smith, M Kang, P Rajana - IEEE Access, 2024 - ieeexplore.ieee.org
Dementia, a syndrome which is characterized by a decline in cognitive abilities such as
memory, thinking, behavior, and the ability to perform daily living activities, is prevalent in …

Comparative Analysis of Machine Learning and Ensemble Learning Classifiers for Alzheimer's Disease Detection

P Goyal, R Rani, K Singh - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
Alzheimer's disease (AD), a psychiatric problem, availing between those who are 65 and
older. Additionally, the disease's steady development of a variety of visible and invisible …

[PDF][PDF] Toward an Electronic Resource for Systematic Reviews in Computing

G Kurdi - 2022 - researchgate.net
Systematic literature reviews are an established research method for collecting and
synthesising available research on an area of interest. They have been widely used in the …

Performance Evaluation of Deep Learning Models for Alzheimer's Disease Detection

A Talha, C Dhanasree, E Divya… - 2024 10th …, 2024 - ieeexplore.ieee.org
Alzheimer's disease (AD) presents as a neurodegenerative condition characterized by
dementia, impacting cognitive function, memory, and behavior. Swift identification is crucial …

Implementation of Wearable Device for Monitoring Alzheimer's Patients

R Ambika, SM Deekshitha… - … on Smart Systems …, 2023 - ieeexplore.ieee.org
This work Proposes a GPS systems and a microcontroller (ESP 32-S) together to keep track
of Alzheimer's patients in real time so they can be safe when they leave the house. With the …

Efficiency and Safety Improvement of Power Equipment Smart Inspection and Operation via Augmented Reality Glasses based on AI Technology

X Lu, J Zhang, K Chen, D Ma… - 2022 4th World …, 2022 - ieeexplore.ieee.org
In order to solve the common problems such as low efficiency, heavy labor consumption,
incomplete inspection existing in the operation and maintenance of traditional power …

Predicting the Onset of Alzheimer's Disease using Machine Learning and Deep Learning Techniques

R Nair, N Mahajan, P Badwaik, U Pote… - 2024 5th International …, 2024 - ieeexplore.ieee.org
Alzheimer's Disease (AD) represents a crucial challenge in healthcare, necessitating
effective diagnostic tools and therapeutic interventions. In an effort to promote early …

Alzheimer Disease Severity Prediction using Response Rate of Five-Word Test

R Shijitha, S Rajalakshmi… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Alzheimer's is a rapidly growing disease that affects approximately 50 million people
worldwide. A person suffering from an illness may be unable to recall recent conversations …

Optimized Machine Learning Model for Alzheimer's Disease Classification

G Das, R Mishra, SK Mohapatra… - … Conference on Signal …, 2024 - ieeexplore.ieee.org
This paper presents an optimized machine learning model for Alzheimer's disease
classification, leveraging nature-inspired algorithms such as Genetic Algorithm (GA), Particle …