Machine learning techniques for the diagnosis of Alzheimer's disease: A review
Alzheimer's disease is an incurable neurodegenerative disease primarily affecting the
elderly population. Efficient automated techniques are needed for early diagnosis of …
elderly population. Efficient automated techniques are needed for early diagnosis of …
Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances
Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
A systematic literature review of automatic Alzheimer's disease detection from speech and language
Objective In recent years numerous studies have achieved promising results in Alzheimer's
Disease (AD) detection using automatic language processing. We systematically review …
Disease (AD) detection using automatic language processing. We systematically review …
Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer's disease: a systematic review
S De la Fuente Garcia, CW Ritchie… - Journal of Alzheimer's …, 2020 - content.iospress.com
Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …
as it declines concurrently with neurodegeneration. Consequently, speech and language …
Ten years of research on automatic voice and speech analysis of people with Alzheimer's disease and mild cognitive impairment: a systematic review article
I Martínez-Nicolás, TE Llorente… - Frontiers in …, 2021 - frontiersin.org
Background: The field of voice and speech analysis has become increasingly popular over
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …
Audio based depression detection using Convolutional Autoencoder
Depression is a serious and common psychological disorder that requires early diagnosis
and treatment. In severe episodes the condition may result in suicidal thoughts. Recently …
and treatment. In severe episodes the condition may result in suicidal thoughts. Recently …
[PDF][PDF] Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer's Disease.
Disfluencies and language problems in Alzheimer's Disease can be naturally modeled by
fine-tuning Transformer-based pre-trained language models such as BERT and ERNIE …
fine-tuning Transformer-based pre-trained language models such as BERT and ERNIE …
[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
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 …
Comparing pre-trained and feature-based models for prediction of Alzheimer's disease based on speech
Introduction: Research related to the automatic detection of Alzheimer's disease (AD) is
important, given the high prevalence of AD and the high cost of traditional diagnostic …
important, given the high prevalence of AD and the high cost of traditional diagnostic …