An explainable machine learning model of cognitive decline derived from speech
C Chandler, C Diaz‐Asper, RS Turner… - Alzheimer's & …, 2023 - Wiley Online Library
INTRODUCTION Traditional Alzheimer's disease (AD) and mild cognitive impairment (MCI)
screening lacks the sensitivity and timeliness required to detect subtle indicators of cognitive …
screening lacks the sensitivity and timeliness required to detect subtle indicators of cognitive …
Automated classification of cognitive decline and probable alzheimer's dementia across multiple speech and language domains
Background: Decline in language has emerged as a new potential biomarker for the early
detection of Alzheimer's disease (AD). It remains unclear how sensitive language measures …
detection of Alzheimer's disease (AD). It remains unclear how sensitive language measures …
Increasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephone
C Diaz-Asper, C Chandler, RS Turner, B Reynolds… - Cortex, 2022 - Elsevier
Barriers to healthcare access are widespread in elderly populations, with a major
consequence that older people are not benefiting from the latest technologies to diagnose …
consequence that older people are not benefiting from the latest technologies to diagnose …
Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer's disease spectrum
Background Advancement in screening tools accessible to the general population for the
early detection of Alzheimer's disease (AD) and prediction of its progression is essential for …
early detection of Alzheimer's disease (AD) and prediction of its progression is essential for …
[HTML][HTML] Machine Learning-Based Prediction Models for Cognitive Decline Progression: A Comparative Study in Multilingual Settings Using Speech Analysis
B Ceyhan, S Bek, T Önal-Süzek - JAR life, 2024 - ncbi.nlm.nih.gov
Background Mild cognitive impairment (MCI) is a condition commonly associated with
dementia. Therefore, early prediction of progression from MCI to dementia is essential for …
dementia. Therefore, early prediction of progression from MCI to dementia is essential for …
Linguistic parameters of spontaneous speech for identifying mild cognitive impairment and Alzheimer disease
In this article, we seek to automatically identify Hungarian patients suffering from mild
cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech …
cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech …
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 …
Automated detection of mild cognitive impairment and dementia from voice recordings: a natural language processing approach
Introduction Automated computational assessment of neuropsychological tests would
enable widespread, cost‐effective screening for dementia. Methods A novel natural …
enable widespread, cost‐effective screening for dementia. Methods A novel natural …
[HTML][HTML] Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease
Background To evaluate the interest of using automatic speech analyses for the assessment
of mild cognitive impairment (MCI) and early-stage Alzheimer's disease (AD). Methods …
of mild cognitive impairment (MCI) and early-stage Alzheimer's disease (AD). Methods …
Clinical classification of memory and cognitive impairment with multimodal digital biomarkers
INTRODUCTION Early detection of Alzheimer's disease and cognitive impairment is critical
to improving the healthcare trajectories of aging adults, enabling early intervention and …
to improving the healthcare trajectories of aging adults, enabling early intervention and …