Drinks:Ration is under active development, with the trial due to commence in May 2020.
Below you will find a list of publications which I have authored and/or co-authored. Where possible I have provided the PDF, or a direct link to the document. You can find my Google Scholar Profile here and Scopus Profile here.
The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database using Natural Language Processing and Machine Learning. Daniel Leightley, David Pernet, Sumithra Velupillai, Robert J. Stewart, Katharine M. Mark, Elena Opie, Dominic Murphy, Nicola T. Fear, Sharon A.M. Stevelink. JMIR Medical Informatics, 2020. Accepted.
The association between paternal psychopathology and adolescent depression and anxiety: A systematic review. Alice Wickersham, Daniel Leightley, Marc Archer and Nicola T. Fear. Journal of Adolescence.
Identifying veterans using electronic health records in the United Kingdom: A feasibility study. Daniel Leightley, Katharine M. Mark, David Pernet, Dominic Murphy, Sharon A.M. Stevelink and Nicola T. Fear. MDPI Healthcare, 2019.
Drinking motivations in UK serving and ex-serving military personnel. Patricia Irizar, Daniel Leightley, Sharon Stevelink, Roberto Rona, Norman Jones, Katerina Gouni, Jo-Anne Puddephatt, Nicola Fear, Simon Wessely and Laura Goodwin. Occupational Medicine, 2019.
Predictors of adolescents' first-episode of homelessness following substance use treatment. Graham DiGuiseppi, Jordan P. Davis, Daniel Leightley and Eric Rice. Journal of Adolescent Health, 2019.
Large expert-curated database for benchmarking document similarity in biomedical literature search. Peter Brown, RELISH Consortium and Yaoqi Zhou. Databases, 2019.
A Qualitative Evaluation of the Acceptability of a Tailored Smartphone Alcohol Intervention for a Military Population: Information About Drinking for Ex-Serving Personnel (InDEx) App. Jo-Anne Puddephatt, Daniel Leightley, Laura Palmer, Norman Jones, Toktam Mahmoodi, Colin Drummond, Roberto Rona, Nicola T Fear, Matt Field and Laura Goodwin. Journal of Internet Medical Research: mHealth & uHealth, 2019.
Efficacy of mobile application interventions for the treatment of Post-Traumatic Stress Disorder: A systematic review. Alice Wickersham, Petros Minas Petrides, Victoria Williamson and Daniel Leightley. Digital Health, 2019.
Risk Assessment Tools and Data-driven Approaches for Predicting and Preventing Suicidal Behaviour. Sumithra Velupillai, Gergö Hadlaczky, Enrique Baca-Garcia, Genevieve M Gorrell, Nomi Werbeloff, Dong Nguyen, Rashmi Patel, Daniel Leightley, Johnny Downs, Matthew Hotopf and Rina Dutta. Frontiers in Psychiatry, section Psychopathology, 2019.
Identifying probable Post-Traumatic Stress Disorder: Applying supervised machine learning to data from a UK military cohort. Daniel Leightley, Victoria Williamson, John Darby and Nicola T. Fear, Journal of Mental Health, 2018.
A Smartphone App and Personalized Text Messaging Framework (InDEx) to Monitor and Reduce Alcohol Use in Ex-Serving Personnel: Development and Feasibility Study. Daniel Leightley, Jo-Anne Puddephatt, Norman Jones, Toktam Mahmoodi, Zoe Chui, Matt Field, Colin Drummond, Roberto J. Rona, Nicola T Fear and Laura Goodwin. Journal of Internet Medical Research: mHealth & uHealth, 2018.
InDEx: Open source iOS and Android software for self-reporting and monitoring of alcohol consumption. Daniel Leightley, Jo-Anne Puddephatt, Laura Goodwin, Roberto Rona, Nicola T. Fear. Journal of Open Research Software, 2018.
Digital Analysis of Sit-to-Stand in Master Athletes, Healthy Old and Young Adults using a Depth Sensor. Daniel Leightley and Moi Hoon Yap. MDPI Healthcare, 2018.
Integrating Electronic Healthcare Records of Armed Forces Personnel: Developing a framework for evaluating health outcomes in England, Scotland and Wales. Daniel Leightley, Zoe Chui, Margaret Jones, Sabine Landau, Paul McCrone, Richard D. Hayes, Simon Wessely, Nicola T. Fear and Laura Goodwin. International Journal of Medical Informatics, 2018.
Postural stability during standing balance and sit-to-stand in master athlete runners compared with non-athletic old and young adults. Daniel Leightley, Moi Hoon Yap, Jessica Coulson, Mathew Piasecki, James Cameron, Yoann Barnouin, Jon Tobias and Jamie S. McPhee. Journal of Aging and Physical Activity, 2017. (PDF) [171kb]
Automated Analysis and Quantification of Human Mobility using a Depth Sensor. Daniel Leightley, Jamie S. McPhee and Moi-Hoon Yap. IEEE Journal of Biomedical and Health Informatics, 2017. Featured Article
Modelling attributes of common mental health disorders in adolescents using audio-visual data. Daniel Leightley, Alice Wickersham and Nicola T. Fear. Measuring Behaviour, 2018.
A Comparative Study Of The Clinical Use Of Motion Analysis from Kinect Skeleton Data. Sean Maudsley-Barton, Jamie McPhee, Anthony Bukowski, Daniel Leightley and Moi Hoon Yap. IEEE Conference on Systems, Man, and Cybernetics, 2017. (PDF) [189kb]
Deep Convolutional Neural Networks for Motion Instability Identification using Kinect. Daniel Leightley, Subhas C. Mukhopadhyay, Hemant Ghayvat and Moi Hoon Yap. Conference on Machine Vision Applications, 2017. (PDF) [207kb] | (Poster) [565kb]
Sensing Behaviour using the Kinect: Identifying Characteristic Features of Instability and Poor Performance During Challenging Balancing Tasks. Daniel Leightley, Moi-Hoon Yap, Brett M. Hewitt and Jamie S. McPhee. Measuring Behaviour, 2016. (PDF) [248kb]
Benchmarking Human Motion Analysis Using Kinect One: an open source dataset. Daniel Leightley, Moi-Hoon Yap, Jessica Coulson, Yoann Barnoouin and Jamie S. McPhee. Asia-Pacific Signal and Information Processing Association, 2015. (PDF) [323kb]
Development of Exergame-based Virtual Trainer for Physical Therapy using Kinect. Baihua Li, Mark Maxwell, Daniel Leightley, Angela Lindsay, Wendy Johnson and Andrew Ruck. Lecture Notes in Computer Science: Games for Health, 2015. (PDF) [251kb]
Exemplar-based Human Action Recognition with Template Matching from a Stream of Motion Capture. Daniel Leightley, Baihua Li, Jamie S. McPhee, Moi Hoon Yap and John Darby. Lecture Notes in Computer Science: Image Analysis and Recognition, 2015. (PDF) [509kb]
Micro-Facial Movements: An Investigation on Spatio-Temporal Descriptors. Adrian K. Davison, Moi Hoon Yap, Nicholas Costen, Kevin Tan, Cliff Lansley and Daniel Leightley. European Conference on Computer Vision Workshops, 2014. (PDF) [1.1MB]
Human Activity Recognition for Physical Rehabilitation. Daniel Leightley, John Darby, Baihua Li, Jamie S. McPhee and Moi Hoon Yap. IEEE Systems, Man and Cybernetics, 2013. (PDF) [250kb]
Analysis of supportive messaging to reduce alcohol consumption: initial investigation. Alice Wickersham, Alison McKinlay, Jo-Anne Puddephatt, Margaret Jones, Norman Jones, Roberto J. Rona, Nicola T. Fear, Laura Goodwin and Daniel Leightley. 6th Annual Conference - Behaviour Change for Health: current and emerging science and technologies, London, 2020.
Identifying Military Veterans in a Clinical Research Database using Natural Language Processing. Daniel Leightley, Katharine M Mark, David Pernet, Dominic Murphy,Nicola T Fear and Sharon AM Stevelink. Conference Proceedings for International Conference on Administrative Data Research 2019, Cardiff, December 2019. (Presentation Slides [2.1MB])
Identifying Military Veterans in a Clinical Research Database: Evaluation of two methods. Daniel Leightley, Katherine Mark, Elena Opie, David Pernet, Dominic Murphy, Nicola T. Fear and Sharon A. M. Stevelink. CIMVHR Forum 2019, Canada.
Information about Drinking for Ex-serving personnel: Development of a smartphone application (app) for alcohol monitoring. Daniel Leightley, Jo-Anne Puddephatt and Laura Goodwin. 4th Annual Conference - Behaviour Change for Health: Digital & Beyond, London, 2018. (Presentation Slides [3.9mb])
Information about Drinking for Ex-Serving Personnel (InDEx): Development of a smartphone application (app) for alcohol monitoring. Daniel Leightley, Jo-Anne Puddephatt and Laura Goodwin. 13th UKSBM Annual Scientific Meeting: Working together for healthy living: Multidisciplinary behavioural medicine, Liverpool, December 2017. (Abstract [431kb])
Can we use Outpatient and Accident & Emergency records from Health Episode Statistics for epidemiological research?. Daniel Leightley, Zoe Chui and Laura Goodwin. 18th meeting of the Section of Epidemiology and Social Psychiatry of the European Psychiatric Association, Sweden, November 2016. (Poster [850kb])
Understanding NHS hospital admissions in England, Scotland and Wales: data linkage to the King’s Centre for Military Health Research Cohort Study. Daniel Leightley, Zoe Chui and Laura Goodwin. Conference Proceedings for International Conference on Administrative Data Research 2016, Swansea, August 2016. (Presentation Slides)
Understanding hospital admissions for military personnel in England, Scotland and Wales: a data linkage study. Daniel Leightley, Zoe Chui and Laura Goodwin. Society for Social Medicine’s 60th Annual Scientific Meeting, York, September 2016. (Poster Presentation [750Kb])
Alcohol misuse is more common in the armed forces than post-traumatic stress disorder. The Conversation UK Online.
Increase in PTSD among UK veterans who served in Afghanistan and Iraq – new research. The Conversation UK Online.
Managing Mental Health by Automation: The role of digital health technologies. NATO RTG: Exploring Personalized Medicine in Mental Health and Performance, London, Uk. 2019.
Identifying probable PTSD using machine learning. AI in Mental Health. London, Uk. 2019. (Presentation Slides)
InDEx: Managing alcohol misuse using automation. DSEI: Medication Innovation - Industry event. London, Uk. 2019. (Presentation Slides)
InDEx: An app to manage alcohol misuse in veterans. Veterans' Mental Health Conference. London, Uk. 2019. (Presentation Slides)
Digital Technology: The future of e-health. University of Kent. Kent, Uk. 2018.
InDEx: managing alcohol misuse by automation. RE-WORK: Deep Learning in Healthcare – Industry Summit. London, Uk. 2018.
Technology and its role in mental health treatment of the armed forces. Mental Health Technologies Summit – Researcher Links. China. 2018.
Thoughts on the use of technology in mental health and the military. University of Southern California and King's College London Symposium. USA. 2017.
What is deep learning, and why you should care?. Manchester Metropolitan University. UK. 2017.
Information about Drinking for Ex-Serving Personnel - InDEx. Defence Mental Health Conference. Hosted by Defence Mental Health Services, British Armed Forces. 2016.
The King's College London Coronavirus Health and Experiences of Colleagues at King's Study (KCL CHECK) protocol paper: a platform for study of the effects of coronavirus pandemic on staff and postgraduate students. Research Study Protocol. medRxiv. 2020. Not peer reviewed.
The mHealth revolution. First-hand experiences - Lt Col Norman Jones & Dr Dan Leightley - The Military Medicine Podcast. 2019.
Expert Chair: Healthcare round table discussions. RE-WORK: Deep Learning in Healthcare – Industry Summit. London, Uk. 2018.
Special Issue: Measuring Behaviour 2018 - Symposia: Facial Expressions Analysis of Human and Animal Behavior Chairs: Daniel Leightley, Adrian Keith Davison and Moi Hoon Yap.
3D Human Action Recognition and Motion Analysis using Selective Representations. Daniel Leightley. 2015. (PDF [5.2MB])
Vision-based human motion analysis for the development of automated rehabilitation tools. Daniel Leightley, Baihua Li, Jamie S. McPhee, Moi Hoon Yap and Kevin Tan. Manchester Metropolitan University Student Development Day, April 2013. (PDF) [103kb]