[PDF][PDF] Ido Ziv–Ph. D1 Heli Baram–MA 2 Kfir Bar–Ph. D3 Vered Zilberstein–MA 4 Shmuel Itzikobitz–Ph. D5

N Dershowitz, I LeZion - cs.tau.ac.il
Psychosis is diagnosed based on disruptions in the structure and use of language, including
reduced syntactic complexity, derailment, and tangentiality. With the development of …

Morphological characteristics of spoken language in schizophrenia patients–an exploratory study

I Ziv, H Baram, K Bar, V Zilberstein… - Scandinavian …, 2022 - Wiley Online Library
Psychosis is diagnosed based on disruptions in the structure and use of language, including
reduced syntactic complexity, derailment, and tangentiality. With the development of …

[HTML][HTML] Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review

V Gashkarimov, R Sultanova, I Efremov… - Consortium …, 2023 - cyberleninka.ru
BACKGROUND: Schizophrenia is a severe psychiatric disorder associated with a significant
negative impact. Early diagnosis and treatment of schizophrenia has a favorable effect on …

Natural language processing for defining linguistic features in schizophrenia: A sample from Turkish speakers

T Çabuk, N Sevim, E Mutlu, AEA Yağcıoğlu, A Koç… - Schizophrenia …, 2024 - Elsevier
Natural language processing (NLP) provides fast and accurate extraction of features related
to the language of schizophrenia. We utilized NLP methods to test the hypothesis that …

A machine learning approach for the automatic classification of schizophrenic discourse

H Allende-Cid, J Zamora, P Alfaro-Faccio… - IEEE …, 2019 - ieeexplore.ieee.org
Schizophrenia is a chronic neurobiological disorder whose early detection has attracted
significant attention from the clinical, psychiatric, and also artificial intelligence communities …

External Validation of a Machine Learning Model for Schizophrenia Classification

Y He, K Sakuma, T Kishi, Y Li, M Matsunaga… - Journal of Clinical …, 2024 - mdpi.com
Background and Objective: Excellent generalizability is the precondition for the widespread
practical implementation of machine learning models. In our previous study, we developed …

A comprehensive review of computational methods for automatic prediction of schizophrenia with insight into indigenous populations

R Ratana, H Sharifzadeh, J Krishnan, S Pang - Frontiers in psychiatry, 2019 - frontiersin.org
Psychiatrists rely on language and speech behavior as one of the main clues in psychiatric
diagnosis. Descriptive psychopathology and phenomenology form the basis of a common …

Language disorder as a marker for schizophrenia

D Hartopo, RT Kalalo - Asia‐Pacific Psychiatry, 2022 - Wiley Online Library
A language disorder is a significant symptom of schizophrenia. A psychiatrist can find this
disorder when interviews with a patient. Screening and diagnosis in patients with …

Linguistic findings in persons with schizophrenia—a review of the current literature

F Ehlen, C Montag, K Leopold, A Heinz - Frontiers in Psychology, 2023 - frontiersin.org
Introduction Alterations of verbalized thought occur frequently in psychotic disorders. We
characterize linguistic findings in individuals with schizophrenia based on the current …

Deep learning for schizophrenia classification based on natural language processing—A pilot study

PY Lin, YH Chen, YJ Chang, JW Chen, TT Ho… - Schizophrenia …, 2024 - Elsevier
Results No significant difference was observed in age (F= 3.065, p= 0.054) and proportion of
sex (F= 0.478, p= 0.705) between the two groups. All the participants had at least 9 years of …