Technology matters: Machine learning approaches to personalised child and adolescent mental health care

Lewis William Paton; Paul Alexander Tiffin

doi:10.1111/camh.12546

Technology matters: Machine learning approaches to personalised child and adolescent mental health care

Lewis William Paton, Paul Alexander Tiffin

The Hull York Medical School

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

Original language	English
Pages (from-to)	307-308
Number of pages	2
Journal	Child and Adolescent Mental Health
Volume	27
Issue number	3
Early online date	26 Feb 2022
DOIs	https://doi.org/10.1111/camh.12546
Publication status	Published - 1 Sept 2022

Bibliographical note

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10.1111/camh.12546Licence: CC BY

Child Adoles Ment Health - 2022 - Paton - Technology Matters Machine learning approaches to personalised child and
©2022 The Authors.
Final published version, 75.3 KBLicence: CC BY

Personalising Mental Health Treatments for Young People Using Machine Intelligence (ProMetheUs)
Tiffin, P. A., Ratcliffe, M. J., Churchill, R., Gilbody, S., Kreif, N., Wright, B. J. D., McMillan, D., Cussens, J., Gega, L., Paton, L. W., Habli, I., Tino, P., Coghill, D., Delgadillo, J., Kennedy, E., Dennis, S., Downs, J., Wilkinson, P., James, T., Sayal, K., Lakin, R. & Howes, A.
1/03/20 → …
Project: Other project › Other internal award

Cite this

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AU - Paton, Lewis William

AU - Tiffin, Paul Alexander

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Technology matters: Machine learning approaches to personalised child and adolescent mental health care

Bibliographical note

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Projects

Personalising Mental Health Treatments for Young People Using Machine Intelligence (ProMetheUs)

Cite this