Open AccessUse of machine learning to determine deviance in neuroanatomical maturity associated with future psychosis in youths at clinically high risk
Author(s) -
Y. Chung,
J. Addington,
C.E. Bearden,
K. Cadenhead,
B. Cornblatt,
D.H. Mathalon,
T. McGlashan,
D. Perkins,
L.J. Seidman,
M. Tsuang,
E. Walker,
S.W. Woods,
S. McEwen,
T.G.M. Van Erp,
T.D. Can,
North American Prodrome Longitudinal Study Consortium,
Neurocognition Pediatric Imaging
Publication year - 2018
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/p8wz-1554
Subject(s) - deviance (statistics) , psychosis , psychology , developmental psychology , maturity (psychological) , clinical psychology , psychiatry , machine learning , computer science
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