Repeatability of commonly used speech and language features for clinical applications
GM Stegmann, S Hahn, J Liss, J Shefner… - Digital …, 2020 - karger.com
Introduction: Changes in speech have the potential to provide important information on the
diagnosis and progression of various neurological diseases. Many researchers have relied …
diagnosis and progression of various neurological diseases. Many researchers have relied …
Detection of mild cognitive impairment through natural language and touchscreen typing processing
Mild cognitive impairment (MCI), an identified prodromal stage of Alzheimer's Disease (AD),
often evades detection in the early stages of the condition, when existing diagnostic …
often evades detection in the early stages of the condition, when existing diagnostic …
A conversational robot for older adults with Alzheimer's disease
Amid the rising cost of Alzheimer's disease (AD), assistive health technologies can reduce
care-giving burden by aiding in assessment, monitoring, and therapy. This article presents a …
care-giving burden by aiding in assessment, monitoring, and therapy. This article presents a …
Exploring the use of natural language processing for objective assessment of disorganized speech in schizophrenia
L Jeong, M Lee, B Eyre, A Balagopalan… - Psychiatric …, 2023 - Am Psychiatric Assoc
Objective Measurement‐based care tools in psychiatry are useful for symptom monitoring
and detecting response to treatment, but methods for quick and objective measurement are …
and detecting response to treatment, but methods for quick and objective measurement are …
Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities
M Parsapoor, MR Alam, A Mihailidis - BMC Medical Informatics and …, 2023 - Springer
Objectives Automatic speech and language assessment methods (SLAMs) can help
clinicians assess speech and language impairments associated with dementia in older …
clinicians assess speech and language impairments associated with dementia in older …
A speech-based prognostic model for dysarthria progression in ALS
Objective We demonstrated that it was possible to predict ALS patients' degree of future
speech impairment based on past data. We used longitudinal data from two ALS studies …
speech impairment based on past data. We used longitudinal data from two ALS studies …
[HTML][HTML] Island study linking aging and neurodegenerative disease (ISLAND) targeting dementia risk reduction: protocol for a prospective web-based cohort study
L Bartlett, K Doherty, M Farrow, S Kim… - JMIR Research …, 2022 - researchprotocols.org
Background: Up to 40% of incident dementia is considered attributable to behavioral and
lifestyle factors. Given the current lack of medical treatments and the projected increase in …
lifestyle factors. Given the current lack of medical treatments and the projected increase in …
Using machine learning to predict children's reading comprehension from linguistic features extracted from speech and writing.
Advances in machine learning (ML) are poised to contribute to our understanding of the
linguistic processes associated with successful reading comprehension, which is a critical …
linguistic processes associated with successful reading comprehension, which is a critical …
Digital measurement of mental health: challenges, promises, and future directions
A Abbas, K Schultebraucks… - Psychiatric Annals, 2021 - journals.healio.com
Digital health technologies are advancing characterization of mental health and functioning
using objective, sensitive, and scalable tools for measurement of disease. These efforts …
using objective, sensitive, and scalable tools for measurement of disease. These efforts …
Multimodal capture of patient behaviour for improved detection of early dementia: clinical feasibility and preliminary results
Non-invasive automatic screening for Alzheimer's disease has the potential to improve
diagnostic accuracy while lowering healthcare costs. Previous research has shown that …
diagnostic accuracy while lowering healthcare costs. Previous research has shown that …