The research will explore data analytics techniques (data mining, machine learning,statistics, etc.) to analyse ophthalmic medical data including parameters extracted from medical images, clinical and lifestyle data which will be used for knowledge discovery purposes, e.g, to determine the best combination of factors for diagnosis and detecting clinical change over time. Some techniques for exploration include but will not be limited to principal component analysis, correlation analysis, classification, sequence pattern analysis,anomaly detection, data visualization, etc.
The successful candidate will work under the supervision of Dr. Cheng Long and Dr Ruth Hogg in the School of Electronics, Electrical Engineering and Computer Science where they will assist in the development of new research activity and research proposals within the specified area of medical data analytics.
Candidate Information
About NICOLA project
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