This talk will describe the context, motivation and proposed methods for using data about online and offline socialising patterns, sexual partnerships, and HIV status and engagement in care from...
Health presents one of the most challenging domains of machine learning research. This offers an exciting opportunity for machine learning techniques to impact healthcare in a meaningful way. In this
In this Seminar, Corri shares reflections on the last 6 years of experience developing a Digital Health Ecosystem in the North East of Scotland. Using a series of exemplars from work in kidney...
Geocoded, time-stamped event datasets are ubiquitous in public health and public policy more broadly. In this talk I will highlight the statistical machine learning methods that I am developing for...
There are many techniques for network comparison, from simply comparing network summary statistics to sophisticated but computationally costly alignment-based approaches. Yet it remains challenging...
The 'NOIR' referred to here is actually an acronym for the four scales of measurement proposed by Stevens in 1946: Nominal, Ordinal, Interval, and Ratio. Despite being proposed over 70 years ago...