Projects per year
My research is centred on using data to better understand the most common causes of vision loss.
Developing Machine Learning pipelines for ophthalmic data
A major strand of my work is a deeper exploration of ophthalmic data from the Northern Ireland Cohort for the Longitudinal study of Ageing (NICOLA) using cutting-edge data science techniques. I am interested in the use of ensemble models to flexibly model tabular data and interpretable Machine Learning techniques to separate signal from noise.
Large scale analysis of Electronic Medical Records
I am analysing two large datasets of anonymised electronic medical records.
The first is a study into the use of machine learning to identify factors associated with long term response to wet AMD treatment, using records of ~4500 patients over a 12 year period.
The second is a multi-centre health technology assessment funded by the National Institute for Health Research, using records from ~13,000 patients to predict risk of conversion from ocular hypertension to glaucoma.
Module Co-ordinator and Lecturer - "The rise of Artificial Intelligence in healthcare" (3rd Year Medicine)
Personal tutor and Portfolio adviser to 12 undergraduate Medical students
Statistics practical classes (Bio-Medical Sciences)
R programming (Bioinformatics, Research Skills in Experimental Medicine)
Statistics practical classes (Medical Statistics)
Benedict Leonard-Hawkhead (1st Supervisor)
Hannah Griffin (2nd Supervisor)
John Smith (3rd Supervisor)
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Collaborations and top research areas from the last five years
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- 4 Active
R1870CPH: Data driven public health approaches for diabetic retinopathy and age-related macular degeneration
27/03/2018 → …
Identifying the severity of diabetic retinopathy by visual function measures using both traditional statistical methods and interpretable machine learning: a cross-sectional studyWright, D. M., Chakravarthy, U., Das, R., Graham, K. W., Naskas, T. T., Perais, J., Kee, F., Peto, T. & Hogg, R. E., 19 Sep 2023, (Early online date) In: Diabetologia. 11 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile3 Downloads (Pure)
Smith, J., Wright, D., Stratton, I., Scanlon, P. & Lois, N., 22 May 2023.
Research output: Contribution to conference › Poster › peer-review
Smith, J., Wright, D., Stratton, I., Scanlon, P. & Lois, N., 22 Apr 2023.
Research output: Contribution to conference › Paper › peer-review
Scleral buckle, vitrectomy, or combined surgery for inferior break retinal detachment: systematic review and meta-analysisBonnar, J., Han Tan, C., McCullough, P., Wright, D. M., Williamson, T., Lois, N. & IRB-RRD Study group, Oct 2023, In: Opthalmology Retina. 7, 10, p. 837-847 11 p.
Research output: Contribution to journal › Review article › peer-reviewOpen AccessFile3 Downloads (Pure)
Ansari, A. S., Tung, A. S. W., Wright, D. M., Watts, P. & Williams, G. S., Jul 2023, In: European Journal of Ophthalmology. 33, 4, p. 1640-1649 10 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile
- 1 Public lecture/debate/seminar
Stormont Assembly Knowledge Exchange Seminar - Economic Opportunities, Occupational Class Status and Social Mobility in Northern Ireland:25 Jan 2017
Activity: Talk or presentation types › Public lecture/debate/seminar