Natural language processing in at-risk mental states: enhancing the assessment of thought disorders and psychotic traits with semantic dynamics and graph theory

Objective: Verbal communication contains key information for mental health assessment. Researchers have linked psychopathology phenomena to certain counterparts in natural language processing. We characterized subtle impairments in the early stages of psychosis, developing new analysis techniques,...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Felipe Argolo, William Henrique de Paula Ramos, Natalia Bezerra Mota, João Medrado Gondim, Ana Caroline Lopes-Rocha, Julio Cesar Andrade, Martinus Theodorus van de Bilt, Leonardo Peroni de Jesus, Andrea Jafet, Guillermo Cecchi, Wagner Farid Gattaz, Cheryl Mary Corcoran, Anderson Ara, Alexandre Andrade Loch
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Associação Brasileira de Psiquiatria (ABP) 2024-12-01
Sarja:	Brazilian Journal of Psychiatry
Aiheet:	Psychosis at-risk mental states natural language processing semantics screening machine learning
Linkit:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462024000100231&lng=en&tlng=en
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