School of Computing

Oct 17, 2018
14:30 - 15:30
Data Science: Daniel Leightly (King's Centre for Military Health Research)
Data Science Group Seminar
Digital Technology: using digital technology to improve health and care in the armed forces community

Abstract: Technological advances are enabling new innovative methods, techniques and frameworks to improve monitoring, delivery and effectiveness of health & wellbeing interventions in the Armed Forces community. In this talk, I will present ongoing digital health research efforts of the King's Centre of Military Health Research. The following projects will be discussed: 1) applying machine learning to predict PTSD using routinely collected data, 2) InDEx, a smartphone app designed to reduce alcohol misuse in veterans through the application of machine learning and behavioural change theory, 3) using Natural Language Processing and Computer Vision to assess and evaluate common mental health disorders in military families, and 5) big data analytics using NHS data to improve our understanding of the armed forces. About the speaker: Daniel Leightley is a Post-Doctoral Research Associate at the King's Centre for Military Health Research. His research focuses on the interface between machine learning and digital health technologies, specifically focused on diagnosis, treatment, and management of physical and mental health conditions in the Armed Forces community.


Intellectual Hub,
Medway Building,
University of Kent,
Chatham Maritime,
United Kingdom


Open to all,

Contact: Michael Kampouridis
School of Computing

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

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Last Updated: 14/08/2015