Alzheimer's disease and automatic speech analysis: a review

MLB Pulido, JBA Hernández, MÁF Ballester… - Expert systems with …, 2020 - Elsevier
The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

Identifying mild cognitive impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features

G Gosztolya, V Vincze, L Tóth, M Pákáski… - Computer Speech & …, 2019 - Elsevier
Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …

Linguistic features and automatic classifiers for identifying mild cognitive impairment and dementia

L Calzà, G Gagliardi, RR Favretti… - Computer Speech & …, 2021 - Elsevier
Almost 50 million people are living with dementia in 2018 worldwide, and the number will
double every 20 years. The effectiveness of existing pharmacologic treatments for the …

An automatic Alzheimer's disease classifier based on spontaneous spoken English

F Bertini, D Allevi, G Lutero, L Calzà… - Computer Speech & …, 2022 - Elsevier
Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …

Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques

S Adhikari, S Thapa, U Naseem, P Singh, H Huo… - International Journal of …, 2022 - Elsevier
Alzheimer's disease (AD) is considered as progressing brain disease, which can be slowed
down with the early detection and proper treatment by identifying the early symptoms …

Automatic speech classifier for mild cognitive impairment and early dementia

F Bertini, D Allevi, G Lutero, D Montesi… - ACM Transactions on …, 2021 - dl.acm.org
The World Health Organization estimates that 50 million people are currently living with
dementia worldwide and this figure will almost triple by 2050. Current pharmacological …

RETRACTED ARTICLE: Automated speech based evaluation of mild cognitive impairment and Alzheimer's disease detection using with deep belief network model

C AI-Atroshi, J Rene Beulah… - … Journal of Healthcare …, 2024 - Taylor & Francis
We, the Editors and Publisher of the International Journal of Healthcare Management, have
retracted the following article: Chiai AI-Atroshi, J. Rene Beulah, Kranthi Kumar Singamaneni …

[HTML][HTML] Biometric data and machine learning methods in the diagnosis and monitoring of neurodegenerative diseases: a review

IA Hodashinsky, KS Sarin, MB Bardamova… - Computer …, 2022 - computeroptics.ru
A review of noninvasive biometric methods for detecting and predicting neurodegenerative
diseases is presented. An analysis of various modalities used to diagnose and monitor …

Using automated metaphor identification to aid in detection and prediction of first-episode schizophrenia

ED Gutierrez, GA Cecchi, C Corcoran… - Proceedings of the …, 2017 - aclanthology.org
The diagnosis of serious mental health conditions such as schizophrenia is based on the
judgment of clinicians whose training takes several years, and cannot be easily formalized …

[PDF][PDF] Towards scalable remote assessment of mild cognitive impairment via multimodal dialog

O Roesler, J Liscombe, M Neumann… - Proceedings of …, 2024 - isca-archive.org
Early assessment of mild cognitive impairment (MCI) has the potential to expedite
interventions and slow disease progress for people at risk of develo** dementia. We …