Deconstructing heterogeneity in schizophrenia through language: a semi-automated linguistic analysis and data-driven clustering approach

Previous works highlighted the relevance of automated language analysis for predicting diagnosis in schizophrenia, but a deeper language-based data-driven investigation of the clinical heterogeneity through the illness course has been generally neglected. Here we used a semiautomated multidimensiona...

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Detalles Bibliográficos
Autores principales: Bambini, Valentina, Frau, Federico, Bischetti, Luca, Cuoco, Federica, Bechi, Margherita, Buonocore, Mariachiara, Agostoni, Giulia, Ferri, Ilaria, Sapienza, Jacopo, Martini, Francesca, Spangaro, Marco, Bigai, Giorgia, Cocchi, Federica, Cavallaro, Roberto, Bosia, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708845/
https://www.ncbi.nlm.nih.gov/pubmed/36446789
http://dx.doi.org/10.1038/s41537-022-00306-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708845/
https://www.ncbi.nlm.nih.gov/pubmed/36446789
http://dx.doi.org/10.1038/s41537-022-00306-z

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