Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression
Background: Natural speech analytics has seen some improvements over recent years, and this has opened a window for objective and quantitative diagnosis in psychiatry. Here, we used a machine learning algorithm applied to natural speech to ask whether language properties measured before psilocybin f...
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2018
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650327_v230_n_p84_Carrillo http://hdl.handle.net/20.500.12110/paper_01650327_v230_n_p84_Carrillo |
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