Predicting probable Alzheimer’s disease using linguistic deficits and biomarkers [PDF]
BMC Bioinformatics, 2017 The manual diagnosis of neurodegenerative disorders such as Alzheimer's disease (AD) and related Dementias has been a challenge. Currently, these disorders are diagnosed using specific clinical diagnostic criteria and neuropsychological examinations.
Jojo S-M Wong, Ireneous N Soyiri
exaly +6 more sources
Linguistic biomarkers of dementia in Italian patients living in Lombardy: insights from NLP analysis
Linguistik OnlineNowadays, dementia poses a major challenge for healthcare services, with consequences on both the economic and the organizational front. The number of people affected by this disease is steadily increasing, and existing pharmacological and psycho-social
Maria Letizia Piccini Bianchessi +1 more
doaj +4 more sources
Linguistic biomarkers for the detection of Mild Cognitive Impairment [PDF]
Lingue e linguaggio, 2021 A timely diagnosis of the prodromal stages of dementia remains a big challenge for healthcare systems: many assessment tools have been proposed over recent years, but the commonest screening instruments are largely unreliable for detecting subtle changes in cognition.
Gagliardi G., Tamburini F.
openaire +3 more sources
Speech analytics across the schizophrenia spectrum disorders: multimodal natural language processing and machine learning modelling in a Chinese-speaking population [PDF]
Frontiers in PsychiatryBackgroundFormal thought disorder (FTD) is a core symptom of schizophrenia spectrum disorders (SSDs). As a key representational dimension of FTD, speech features have been shown in previous studies to hold potential as diagnostic biomarkers for SSD ...
Jiaqi Liu +7 more
doaj +2 more sources
Validating Digital Linguistic Features as Potential Biomarkers of Alzheimer's Disease [PDF]
Alzheimers DementAbstract Background Speech features derived from verbal responses to cognitive tests have been shown to indicate mild cognitive impairment and later risk of Alzheimer's Disease (AD). However, research in validating speech features using established AD biomarkers remains limited. This study aims
Huang H +7 more
europepmc +3 more sources
How robust are linguistic markers of aging? The case of aging-related social media text
Natural Language Processing JournalRecent research suggests that linguistic biomarkers are effective in detecting probable cognitive impairment (PCI). This study extends this line of research by examining whether linguistic markers, which have been previously validated in structured ...
Yan Cong +3 more
doaj +2 more sources
A transparent four-feature speech model for depression screening applicable across clinical and community settings, including assisted-living environments [PDF]
Frontiers in Digital HealthDepression in older adults, often underrecognized and frequently conflated with cognitive symptoms, remains a major challenge in settings such as assisted-living communities.
Kevin Mekulu, Faisal Aqlan, Hui Yang
doaj +2 more sources
The Automatic Extraction of Linguistic Biomarkers as a Viable Solution for the Early Diagnosis of Mental Disorders. [PDF]
, 2022 Digital Linguistic Biomarkers extracted from spontaneous language productions proved to be very useful for the early detection of various mental disorders. This paper presents a computational pipeline for the automatic processing of oral and written texts: the tool enables the computation of a rich set of linguistic features at the acoustic, rhythmic ...
Gagliardi Gloria, Tamburini Fabio
openaire +3 more sources
iSense: AI-Based Model and App to Identify Linguistic Biomarkers of Mood Disorders
, 2020 The prevalence of mood disorders has increased rapidly over the past decade, especially in teens. The nature of these disorders is such that most symptoms are in a person’s mind making it harder to diagnose, leading to a mental health epidemic which is difficult to control.
Divya Nori
openaire +4 more sources
Language biomarker screening using AI: a transdiagnostic approach to the brain [PDF]
Scientific ReportsIndividuals with left-hemisphere damage (LHD), right-hemisphere damage (RHD), dementia, mild cognitive impairment (MCI), traumatic brain injury (TBI), and healthy controls are characterized by overlapping clinical profiles affecting communication and ...
Charalambos Themistocleous +1 more
doaj +2 more sources