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Research Keywords: machine learning

Trajectories of sentiment in 11,816 psychoactive narratives

Objective Can machine learning (ML) enable data‐driven discovery of how changes in sentiment correlate with different psychoactive experiences? We investigate by training models directly on

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,

Research Keywords: machine learning

Trajectories of sentiment in 11,816 psychoactive narratives

Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression

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