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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 and Yung, Alison 2017, Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis, Schizophrenia research, vol. 184, pp. 32-38, doi: 10.1016/j.schres.2016.11.047.

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Title Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis
Author(s) Mechelli, A
Lin, A
Wood, S
McGorry, P
Amminger, P
Tognin, S
McGuire, P
Young, J
Nelson, B
Yung, Alison
Journal name Schizophrenia research
Volume number 184
Start page 32
End page 38
Total pages 7
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017-06
ISSN 0920-9964
1573-2509
Keyword(s) 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
Language eng
DOI 10.1016/j.schres.2016.11.047
Indigenous content off
Field of Research 11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30150865

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.