Duncan, E., Best, C., Dougall, N., Skar, S., Evans, J., Corfield, A., …Wojcik, W. (2019). Epidemiology of emergency ambulance service calls related to mental health problems and self harm: a national record linkage study. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 27(34), https://doi.org/10.1186/s13049-019-0611-9
Background: People experiencing a mental health crisis receive variable and poorer quality care than those experiencing a physical health crisis. Little is known about the epi...
Denham, S. H., Humphrey, T., deLabrusse, C., & Dougall, N. (2019). Mode of birth after caesarean section: individual prediction scores using Scottish population data. BMC pregnancy and childbirth, 84(19), https://doi.org/10.1186/s12884-019-2226-6
Rising caesarean section (CS) rates are a global health concern. Contemporary data indicates that almost 50% of CS are electively performed, with a high proportion ...
Kobayashi, S., Kane, T., & Paton, C. (2018). The Privacy and Security Implications of Open Data in Healthcare: A Contribution from the IMIA Open Source Working Group. IMIA Yearbook of Medical Informatics, doi:10.1055/s-0038-1641201. ISSN 0943-4747
Objective: The International Medical Informatics Association (IMIA) Open Source Working Group (OSWG) initiated a group discussion to discuss current privacy and security issue...
Chief Scientists Office
Deaths by suicide among young people are common, increasing year by year in 15-19 year olds, have devastating consequences for everyone involved, and are a signficant UK public health problem. People ...
To determine the feasibility of carrying out a phase 4 study on the clinical and health economic impact of implementing telemonitoring of BP as routine practice for the majority of patients with raise...
McGrail, K., Jones, K., Akbari, A., Bennett, T., Boyd, A., Carinci, F., …Kotelchuck, M. (2018). A Position Statement on Population Data Science:. International Journal of Population Data Science, 3(1), https://doi.org/10.23889/ijpds.v3i1.415
Information is increasingly digital, creating opportunities to respond to pressing issues about human populations using linked datasets that are large, complex, and diverse. T...
Parker, R. A., Paterson, M., Padfield, P., Pinnock, H., Hanley, J., Hammersley, V. S., …McKinstry, B. (2018). Are self-reported telemonitored blood pressure readings affected by end-digit preference: a prospective cohort study in Scotland. BMJ Open, 8(1), (e019431). doi:10.1136/bmjopen-2017-019431. ISSN 2044-6055
Objective Simple forms of blood pressure (BP) telemonitoring require patients to text readings to central servers creating an opportunity for both entry error and manipulati...
Johnson, C. F., Dougall, N. J., Williams, B., MacGillivray, S. A., Buchanan, A. I., & Hassett, R. D. (2014). Patient factors associated with SSRI dose for depression treatment in general practice: A primary care cross sectional study. BMC family practice, 15(210), doi:10.1186/s12875-014-0210-9
Antidepressant prescribing continues to rise. Increased long-term prescribing and higher doses are contributing to current growth; however, patient factors associat...
Dougall, N., Lambert, P., Maxwell, M., Dawson, A., Sinnott, R., McCafferty, S., …Springbett, A. (2014). Deaths by suicide and their relationship with general and psychiatric hospital discharge: 30-year record linkage study. The British journal of psychiatry, 204(4), 267-273. doi:10.1192/bjp.bp.112.122374
Background: Studies have rarely explored suicides completed following discharge from both general and psychiatric hospital settings. Such research might identify additional op...
Shivaji, T., Lee, A., Dougall, N., McMillan, T., & Stark, C. (2014). The epidemiology of hospital treated traumatic brain injury in Scotland. BMC Neurology, 14(2), ISSN 1471-2377
Traumatic Brain Injury (TBI) is an important global public health problem made all the more important by the increased likelihood of disability following a hospita...
(2010). Vision and Challenges for Realising the Internet of Things. doi:10.2759/26127. ISBN 978-92-79-15088-3
Description of the DACAR project and its aims and objectives
Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015). From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 1936-1942. https://doi.org/10.18653/v1/d15-1224
Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring...
Gkatzia, D., Cercas Curry, A., Rieser, V., & Lemon, O. (2015). A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation. In Proceedings of the 15th European Workshop on Natural Language Generation, 112-113. https://doi.org/10.18653/v1/w15-4720
Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores, such as probabilities. A concrete example of such data is weather data. We w...
Gkatzia, D., & Mahamood, S. (2015). A Snapshot of NLG Evaluation Practices 2005 - 2014. https://doi.org/10.18653/v1/w15-4708
In this paper we present a snapshot of endto-end NLG system evaluations as presented in conference and journal papers1 over the last ten years in order to better understand th...
Cercas Curry, A., Gkatzia, D., & Rieser, V. (2015). Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments. In Proceedings of the 15th European Workshop on Natural Language Generation, 90-94. https://doi.org/10.18653/v1/w15-4715
Referring to landmarks has been identified to lead to improved navigation instructions. However, a previous corpus study suggests that human “wizards” also choose to refer to ...
Gkatzia, D., Hastie, H., & Lemon, O. (2014). Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. In Proceedings of the Conference Volume 1: Long Papers, 1231-1240. https://doi.org/10.3115/v1/p14-1116
We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selec...