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An empirical staging model for schizophrenia using machine learning

dc.contributor.authorMartínez Cao, Clara 
dc.contributor.authorSánchez Lasheras, Fernando 
dc.contributor.authorGarcía Fernández, Ainoa 
dc.contributor.authorGonzález Blanco, Leticia 
dc.contributor.authorSaiz Martínez, Pilar Alejandra 
dc.contributor.authorBobes, Julio 
dc.contributor.authorGarcía-Portilla González, María Paz 
dc.date.accessioned2024-02-26T07:38:28Z
dc.date.available2024-02-26T07:38:28Z
dc.date.issued2023
dc.identifier.issn0924-9338
dc.identifier.issn1778-3585
dc.identifier.urihttps://hdl.handle.net/10651/71552
dc.descriptionEuropean Congress of Psychiatry (31st. 2023. Paris, France)
dc.format.extentp. S626-S627
dc.language.isoeng
dc.relation.ispartofEuropean Psychiatry
dc.rights© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceWOS:001060676601583
dc.titleAn empirical staging model for schizophrenia using machine learning
dc.typeconference output
dc.identifier.doi10.1192/j.eurpsy.2023.1304
dc.relation.publisherversionhttp://dx.doi.org/10.1192/j.eurpsy.2023.1304
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
Este ítem está sujeto a una licencia Creative Commons