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Automated Analysis of Responses on Verbal Fluency Tests in Schizophrenia Risk States

Cansu Sarac,Zarina Bilgrami,Carla Agurto,Melanie Formica, Sarmiya Uruthiralingam,Jessica Spark,Romina Mizrahi,Patrick McGorry,Barnaby Nelson,Guillermo Cecchi,Cheryl Corcoran,Mary Pietrowicz

BIOLOGICAL PSYCHIATRY（2020）

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Abstract
In this study we explore automated analysis of language to identify individuals at clinical high-risk for psychosis (CHR). Automated and unbiased tools can help detect subtle changes in language (Bedi et. al., 2015; Corcoran et al., 2018) which may lead to early detection, intervention, and prevention.
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Key words
Machine learning,Attenuated Psychosis Syndrome,Schizophrenia Spectrum,Early Risk Identification
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