Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression-Reference-Cited by-同舟云学术

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

Published:2018-04 Issue: Volume:230 Page:84-86
ISSN:0165-0327
Container-title:Journal of Affective Disorders
language:en
Short-container-title:Journal of Affective Disorders

Author:

Carrillo Facundo,Sigman Mariano,Fernández Slezak Diego,Ashton Philip,Fitzgerald Lily,Stroud Jack,Nutt David J.,Carhart-Harris Robin L.

Funder

Alex Mosley Charitable Trust

UK MRC

Microsoft Faculty Fellowship 2014

James McDonnell Foundation

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference20 articles.

1. Automated analysis of free speech predicts psychosis onset in high-risk youths;Bedi;NPJ Schizophr.,2015

2. Jumping nlp curves: a review of natural language processing research;Cambria;IEEE Comput. Intell. Mag.,2014

3. The therapeutic potential of psychedelic drugs: past, present and future;Carhart-Harris;Neuropsychopharmacology,2017

4. Psilocybin with psychological support for treatment-resistant depression: an open-label feasibility study;Carhart-Harris;Lancet Psychiatry,2016

5. Carrillo, F., et al. 2014. Automated speech analysis for psychosis evaluation. In: International Workshop on Machine Learning and Interpretation in Neuroimaging, 31-39 (Springer International Publishing).

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