[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 …
reduced syntactic complexity, derailment, and tangentiality. With the development of …
Morphological characteristics of spoken language in schizophrenia patients–an exploratory study
Psychosis is diagnosed based on disruptions in the structure and use of language, including
reduced syntactic complexity, derailment, and tangentiality. With the development of …
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 …
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
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 …
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
Schizophrenia is a chronic neurobiological disorder whose early detection has attracted
significant attention from the clinical, psychiatric, and also artificial intelligence communities …
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 …
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 …
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 …
disorder when interviews with a patient. Screening and diagnosis in patients with …
Linguistic findings in persons with schizophrenia—a review of the current literature
Introduction Alterations of verbalized thought occur frequently in psychotic disorders. We
characterize linguistic findings in individuals with schizophrenia based on the current …
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 …
sex (F= 0.478, p= 0.705) between the two groups. All the participants had at least 9 years of …