Results 21 to 30 of about 8,342 (214)

Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology

Frontiers in Psychiatry, 2022
IntroductionPsychiatric disorders are diagnosed through observations of psychiatrists according to diagnostic criteria such as the DSM-5. Such observations, however, are mainly based on each psychiatrist's level of experience and often lack objectivity ...
Taishiro Kishimoto, Taishiro Kishimoto, Hironobu Nakamura, Yoshinobu Kano, Yoko Eguchi, Momoko Kitazawa, Kuo-ching Liang, Koki Kudo, Koki Kudo, Ayako Sento, Akihiro Takamiya, Toshiro Horigome, Toshihiko Yamasaki, Yuki Sunami, Toshiaki Kikuchi, Kazuki Nakajima, Masayuki Tomita, Shogyoku Bun, Shogyoku Bun, Yuki Momota, Kyosuke Sawada, Junichi Murakami, Hidehiko Takahashi, Masaru Mimura   +23 more
doaj   +1 more source

The Automatic Extraction of Linguistic Biomarkers as a Viable Solution for the Early Diagnosis of Mental Disorders

Proceedings of the Language Resources and Evaluation Conference, 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

Clinical Feasibility of Speech Phenotyping for Remote Assessment of Neurodegenerative and Psychiatric Disorders (RHAPSODY): a study protocol

European Psychiatry, 2022
Introduction The diagnosis of neurodegenerative and psychiatric disorders (NPDs) in primary care can suffer from inefficiencies resulting in misdiagnoses and delayed diagnosis, limiting effective treatment options. The development of speech and language-
R. Taylor, E. Hampsey, M. Mészáros, C. Skirrow, R. Strawbridge, L. Chok, D. Aarsland, A. Al-Chalabi, K.R. Chaudhuri, J. Weston, E. Fristed, A. Young, O. Awogbemila   +12 more
doaj   +1 more source

COMPROMISSIONI SEMANTICO-LESSICALI NEI PAZIENTI ITALOFONI AFFETTI DA DEMENZA: UN’ANALISI CORPUS-BASED

Italiano LinguaDue, 2023
Lo studio si pone l’obiettivo di indagare la compromissione semantico-lessicale indotta dall’insorgenza di malattie dementigene per la lingua italiana.
Elena Martinelli, Gloria Gagliardi
doaj   +1 more source

Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease

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, Maureen Okafor, Jinho D. Choi, Elliot Moore II, Anees Abrol, Vince D. Calhoun, Felicia C. Goldstein   +6 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, Daria HEMMERLING, Mariusz ZIÓŁKO, Wojciech DATKA, Ewa STOGOWSKA, Michał KUCHARSKI, Rafał RZEPKA, Bartosz ZIÓŁKO   +7 more
doaj   +1 more source

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, Jojo Sze-Meng Wong, Chee Piau Wong   +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, Robert J. Klein, Nicholas C. Jacobson   +2 more
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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, Eduar Herrera, Catalina Trujillo, Juan F. Cardona, Jesus A. Diazgranados, Mariana Pino, Hernando Santamaría-García, Hernando Santamaría-García, Agustín Ibáñez, Agustín Ibáñez, Agustín Ibáñez, Agustín Ibáñez, Agustín Ibáñez, Adolfo M. García, Adolfo M. García, Adolfo M. García, Adolfo M. García   +16 more
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Distinct Insular Functional Connectivity Changes Related to Mood and Fatigue Improvements in Major Depressive Disorder Following Tai Chi Training: A Pilot Study

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, Chloe S. Zimmerman, Chloe S. Zimmerman, Sara W. Lazar, Sara W. Lazar, Yan Ma, Yan Ma, Catherine E. Kerr, Albert Yeung, Albert Yeung   +9 more
doaj   +1 more source