Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis

Mechelli, A; Lin, A; Wood, S; McGorry, P; Amminger, P; Tognin, S; McGuire, P; Young, J; Nelson, B; Yung, Alison

yung-usingclinicalinformation-2017.pdf (758.77 kB)

Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis

journal contribution

posted on 2017-06-01, 00:00 authored by A Mechelli, A Lin, S Wood, P McGorry, P Amminger, S Tognin, P McGuire, J Young, B Nelson, Alison YungAlison Yung

Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis

History

Journal

Schizophrenia research

Volume

184

Pagination

32 - 38

Publisher

Elsevier

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.schres.2016.11.047

Link to full text

http://doi.org/10.1016/j.schres.2016.11.047

ISSN

0920-9964

eISSN

1573-2509

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000403559400006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

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C1 Refereed article in a scholarly journal

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Keywords

BIOMARKERS Clinical outcome DISEASE FOLLOW-UP Functional outcome Life Sciences & Biomedicine MENTAL STATES ONSET PRODROME Psychiatry Psychosis Science & Technology Support vector machine TRANSITION Ultra-high risk YOUNG-PEOPLE

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Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis

History

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Publisher DOI

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