5 papers · 1 filter
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…
Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population
D. Morelli, N. Dolezalova, S. Ponzo +2
The burden of depression and anxiety in the world is rising. Identification of individuals at increased risk of developing these conditions would help to target them for prevention…
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…
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…
DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout
Davide Bacciu, Francesco Crecchi, Davide Morelli
The paper presents a novel, principled approach to train recurrent neural networks from the Reservoir Computing family that are robust to missing part of the input features at pred…