Predicting criminal offence in adolescents who exhibit antisocial behaviour: A machine learning study using data from a large randomised controlled trial of Multisystemic therapy

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Predicting criminal offence in adolescents who exhibit antisocial behaviour: A machine learning study using data from a large randomised controlled trial of Multisystemic therapy

Suh, JW; Saunders, Rob; Simes, Elizabeth; Delamain, Henry; Butler, Stephen; Cottrell, David; Kraam, Abdullah; ... Fonagy, Peter; + view all (2025) Predicting criminal offence in adolescents who exhibit antisocial behaviour: A machine learning study using data from a large randomised controlled trial of Multisystemic therapy. European Child and Adolescent Psychiatry (In press). Green open access

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Type:	Article
Title:	Predicting criminal offence in adolescents who exhibit antisocial behaviour: A machine learning study using data from a large randomised controlled trial of Multisystemic therapy
Open access status:	An open access version is available from UCL Discovery
Publisher version:	https://link.springer.com/journal/787
Language:	English
Additional information:	This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification:	UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Clinical, Edu and Hlth Psychology
URI:	https://discovery-pp.ucl.ac.uk/id/eprint/10197892

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