Results 31 to 40 of about 8,531 (253)
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023 Introduction Advances in natural language processing (NLP), speech recognition, and machine learning (ML) allow the exploration of linguistic and acoustic changes previously difficult to measure.
Ihab Hajjar +6 more
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, 2023 Motor impairments are only one aspect of Parkinson's disease (PD), which also include cognitive and linguistic impairments. Speech-derived interpretable biomarkers may help clinicians diagnose PD at earlier stages and monitor the disorder's evolution ...
Robert David Stevens (14703418) +7 more
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Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions: A review
Archives of Acoustics, 2023 The goal of this article is to present and compare recent approaches which use speech and voice analysis as biomarkers for screening tests and monitoring of some diseases.
Magdalena IGRAS-CYBULSKA +7 more
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Linguistic Markers of Anorexia Nervosa: Preliminary Data from a Prospective Observational Study
, 2020 Recent works indicated the potential relevance of Natural Language Processing techniques for the detection of clinical conditions. This paper tries to address the issue in the Eating Disorder domain, by exploiting “linguistic biomarkers” for Anorexia ...
Elisabetta Malaspina +9 more
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Deep language space neural network for classifying mild cognitive impairment and Alzheimer-type dementia. [PDF]
PLoS ONE, 2018 It has been quite a challenge to diagnose Mild Cognitive Impairment due to Alzheimer's disease (MCI) and Alzheimer-type dementia (AD-type dementia) using the currently available clinical diagnostic criteria and neuropsychological examinations. As such we
Sylvester Olubolu Orimaye +2 more
doaj +1 more source
Predicting acute suicidal ideation on Instagram using ensemble machine learning models
Internet Interventions, 2021 Introduction: Online social networking data (SN) is a contextually and temporally rich data stream that has shown promise in the prediction of suicidal thought and behavior.
Damien Lekkas +2 more
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Predictive Coding in Schizophrenia: Interactions across Linguistic Levels: WP4
, 2023 Machine learning has substantial potential in the (f)MRI– and EEG-based diagnosis of schizophrenia. High-dimensional EEG data (i.e., combination of multiple ERP components, combination of time– and frequency-domain biomarkers) may further improve ...
Lars Meyer, Yifei He
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Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
Frontiers in Aging Neuroscience, 2020 Frontostriatal disorders, such as Parkinson’s disease (PD), are characterized by progressive disruption of cortico-subcortical dopaminergic loops involved in diverse higher-order domains, including language. Indeed, syntactic and emotional language tasks
Sandra Baez +16 more
doaj +1 more source
Frontiers in Integrative Neuroscience, 2020 Objective: Tai chi (TC), a contemplative practice combining slow movements and deep breathing, has been shown to be clinically effective in alleviating depressive symptoms.
Anna Xu +9 more
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Gaze Following and Pupil Dilation as Early Diagnostic Markers of Autism in Toddlers
Children, 2021 Background: Children with autism spectrum disorder (ASD) show certain characteristics in visual attention. These may generate differences with non-autistic children in the integration of relevant social information to set the basis of communication ...
Raquel Camero +2 more
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