Identifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data

Isabel Valli; Andre F. Marquand; Andrea Mechelli; Marie Raffin; Paul Allen; Marc L. Seal; Philip McGuire

doi:10.3389/fpsyt.2016.00052

Identifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data

Isabel Valli
, Andre F. Marquand
, Andrea Mechelli
, Marie Raffin
, Paul Allen
, Marc L. Seal
, Philip McGuire

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	FRONTIERS IN PSYCHIATRY
Volume	7
DOIs	https://doi.org/10.3389/fpsyt.2016.00052
Publication status	Published - 8 Apr 2016

Keywords

psychosis
risk
support vector machine
MRI and fMRI
at-risk mental state
schizophrenia
verbal learning
memory

Access to Document

10.3389/fpsyt.2016.00052

Cite this

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title = "Identifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data",

keywords = "psychosis, risk, support vector machine, MRI and fMRI, at-risk mental state, schizophrenia, verbal learning, memory",

author = "Isabel Valli and Marquand, \{Andre F.\} and Andrea Mechelli and Marie Raffin and Paul Allen and Seal, \{Marc L.\} and Philip McGuire",

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AU - Raffin, Marie

AU - Allen, Paul

AU - Seal, Marc L.

AU - McGuire, Philip

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KW - at-risk mental state

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KW - verbal learning

KW - memory

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