A speech based diagnostic method for Alzheimer disease using machine learning
RB Begam, M Palanivelan - International Journal of Speech Technology, 2023 - Springer
Abstract Alzheimer's Disease (AD), the most common form of dementia, is a
neurodegenerative condition which evolves over time. Patients experience short-term …
neurodegenerative condition which evolves over time. Patients experience short-term …
An Ensemble Machine Learning Algorithm To Diagnose Alzheimer's Disease
B Begam, M Palanivelan… - … Conference on Recent …, 2023 - ieeexplore.ieee.org
Alzheimer's Disease (AD), the most common form of dementia, is a neurodegenerative
condition which evolves over time. Patients experience short-term memory lapses at the start …
condition which evolves over time. Patients experience short-term memory lapses at the start …
ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease
Alzheimer's disease (AD) is a neurodegenerative disease that affects nearly 50 million
individuals across the globe and is one of the leading causes of deaths globally. It is …
individuals across the globe and is one of the leading causes of deaths globally. It is …
[HTML][HTML] Learning language and acoustic models for identifying Alzheimer's dementia from speech
Alzheimer's dementia (AD) is a chronic neurodegenerative illness that manifests in a
gradual decline of cognitive function. Early identification of AD is essential for managing the …
gradual decline of cognitive function. Early identification of AD is essential for managing the …
[HTML][HTML] Classifying Alzheimer's disease using audio and text-based representations of speech
R Haulcy, J Glass - Frontiers in Psychology, 2021 - frontiersin.org
Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor
skills of patients. Extensive research has been done to develop accessible, cost-effective …
skills of patients. Extensive research has been done to develop accessible, cost-effective …
[HTML][HTML] Deep learning-based speech analysis for Alzheimer's disease detection: a literature review
Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
A new machine learning method for identifying Alzheimer's disease
Most of the studies on Alzheimer's disease (AD) have been carried out using medical
images. However, the acquisition of medical images data is difficult. The identification based …
images. However, the acquisition of medical images data is difficult. The identification based …
ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer's Disease
T Tripathi, R Kumar - ADCAIJ: Advances in Distributed Computing …, 2024 - revistas.usal.es
Alzheimer's disease (AD) is a severe neurological condition that affects numerous people
globally with detrimental consequences. Detecting AD early is crucial for prompt treatment …
globally with detrimental consequences. Detecting AD early is crucial for prompt treatment …
Alzheimer's Dementia Detection Through Machine Learning: Analyzing Linguistic and Acoustic Features in Spontaneous Speech
Z Shah - 2023 - era.library.ualberta.ca
With the rapid aging of the world's population, the global burden of agingrelated mental
disorders, such as Alzheimer's dementia (AD), is also on the rise. Unfortunately global …
disorders, such as Alzheimer's dementia (AD), is also on the rise. Unfortunately global …
Artificial intelligence tools to evaluate language and speech patterns in Alzheimer's disease
Background Speech and language problems are one of the earliest signs of
neurodegenerative diseases including Alzheimer's disease (AD), but they are often difficult …
neurodegenerative diseases including Alzheimer's disease (AD), but they are often difficult …