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Daniel Leightley

Showing results (1-10 of 74) with videos related to

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BMJ Military Health|December 1, 2022
Personalised digital technology for mental health in the armed forces: the potential, the hype and the dangersDaniel Leightley, D Murphy
Healthcare (Basel, Switzerland)|March 3, 2018
Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth SensorDaniel Leightley, Moi Hoon Yap
JMIR AI|September 22, 2025
Developing a Tool for Identifying Clinical Risk From Free-Text Clinical Records: Natural Language Processing StudyNatasha Biscoe, Daniel Leightley, Dominic Murphy
IEEE Journal of Biomedical and Health Informatics|June 3, 2016
Automated Analysis and Quantification of Human Mobility Using a Depth SensorDaniel Leightley, Jamie S McPhee, Moi Hoon Yap
JMIR Research Protocols|October 13, 2023
The DrinksRation Smartphone App for Modifying Alcohol Use Behaviors in UK Military Service Personnel at Risk of Alcohol-Related Harm: Protocol for a Randomized Controlled TrialKate King, Daniel Leightley, Neil Greenberg, et al.
Journal of Mental Health (Abingdon, England)|September 4, 2023
The effectiveness of digital health technologies for reducing substance use among young people: a systematic review & meta-analysisJessica O'Logbon, Alice Wickersham, Charlotte Williamson, et al.
JMIR Research Protocols|April 29, 2026
Veteran Monitoring Initiative for Noninvasive Physiology and Depression (V-MIND) Exploring Physical Activity and Mental Health in UK Veterans: Protocol for an Observational Digital Phenotyping StudyDanielle Dryden, Daniel Leightley, Natasha Biscoe, et al.
Journal of Adolescence|January 28, 2020
The association between paternal psychopathology and adolescent depression and anxiety: A systematic reviewAlice Wickersham, Daniel Leightley, Marc Archer, et al.
Journal of Mental Health (Abingdon, England)|November 18, 2018
Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohortDaniel Leightley, Victoria Williamson, John Darby, et al.
Digital Health|April 26, 2019
Efficacy of mobile application interventions for the treatment of post-traumatic stress disorder: A systematic reviewAlice Wickersham, Petros Minas Petrides, Victoria Williamson, et al.
Pageof 8

Showing results (1-10 of 74) with videos related to

Sort By:
Pageof 8
BMJ Military Health|December 1, 2022
Personalised digital technology for mental health in the armed forces: the potential, the hype and the dangersDaniel Leightley, D Murphy
Healthcare (Basel, Switzerland)|March 3, 2018
Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth SensorDaniel Leightley, Moi Hoon Yap
JMIR AI|September 22, 2025
Developing a Tool for Identifying Clinical Risk From Free-Text Clinical Records: Natural Language Processing StudyNatasha Biscoe, Daniel Leightley, Dominic Murphy
IEEE Journal of Biomedical and Health Informatics|June 3, 2016
Automated Analysis and Quantification of Human Mobility Using a Depth SensorDaniel Leightley, Jamie S McPhee, Moi Hoon Yap
JMIR Research Protocols|October 13, 2023
The DrinksRation Smartphone App for Modifying Alcohol Use Behaviors in UK Military Service Personnel at Risk of Alcohol-Related Harm: Protocol for a Randomized Controlled TrialKate King, Daniel Leightley, Neil Greenberg, et al.
Journal of Mental Health (Abingdon, England)|September 4, 2023
The effectiveness of digital health technologies for reducing substance use among young people: a systematic review & meta-analysisJessica O'Logbon, Alice Wickersham, Charlotte Williamson, et al.
JMIR Research Protocols|April 29, 2026
Veteran Monitoring Initiative for Noninvasive Physiology and Depression (V-MIND) Exploring Physical Activity and Mental Health in UK Veterans: Protocol for an Observational Digital Phenotyping StudyDanielle Dryden, Daniel Leightley, Natasha Biscoe, et al.
Journal of Adolescence|January 28, 2020
The association between paternal psychopathology and adolescent depression and anxiety: A systematic reviewAlice Wickersham, Daniel Leightley, Marc Archer, et al.
Journal of Mental Health (Abingdon, England)|November 18, 2018
Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohortDaniel Leightley, Victoria Williamson, John Darby, et al.
Digital Health|April 26, 2019
Efficacy of mobile application interventions for the treatment of post-traumatic stress disorder: A systematic reviewAlice Wickersham, Petros Minas Petrides, Victoria Williamson, et al.
Pageof 8