Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression.
Journal of Affective Disorders April 1, 2018 Facundo Carrillo, Mariano Sigman, Diego Fernández Slezak et al. 57 citations
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 for treatment-resistant can predict for which patients it will be effective and for which it will...
DOI: 10.1016/j.jad.2018.01.006 (opens in new tab)
Psychedelic therapy
Psilocybin therapy
Psilocybin treatment
Depression treatment
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