Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing

The detection of changes in mental states such as those caused by psychoactive drugs relies on clinical assessments that are inherently subjective. Automated speech analysis may represent a novel method to detect objective markers, which could help improve the characterization of these mental states...

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Detalles Bibliográficos
Autores principales: Agurto, Carla, Cecchi, Guillermo A., Norel, Raquel, Ostrand, Rachel, Kirkpatrick, Matthew, Baggott, Matthew J., Wardle, Margaret C., Wit, Harriet de, Bedi, Gillinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075895/
https://www.ncbi.nlm.nih.gov/pubmed/31978933
http://dx.doi.org/10.1038/s41386-020-0620-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075895/
https://www.ncbi.nlm.nih.gov/pubmed/31978933
http://dx.doi.org/10.1038/s41386-020-0620-4

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