3 papers
cs.LG2021
Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study
Nikola Dolezalova, Massimo Cairo, Alex Despotovic +4
Diabetes affects over 400 million people and is among the leading causes of morbidity worldwide. Identification of high-risk individuals can support early diagnosis and prevention…
cs.LG2021
Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study
Nikola Dolezalova, Angus B. Reed, Alex Despotovic +4
Background: Cardiovascular diseases (CVDs) are among the leading causes of death worldwide. Predictive scores providing personalised risk of developing CVD are increasingly used in…
cs.LG2021
Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study
Mohammad A. Dabbah, Angus B. Reed, Adam T. C. Booth +8
The COVID-19 pandemic has created an urgent need for robust, scalable monitoring tools supporting stratification of high-risk patients. This research aims to develop and validate p…