An attention model to analyse the risk of agitation and urinary tract infections in people with dementia

1 code implementation • 18 Jan 2021 • Honglin Li, Roonak Rezvani, Magdalena Anita Kolanko, David J. Sharp, Maitreyee Wairagkar, Ravi Vaidyanathan, Ramin Nilforooshan, Payam Barnaghi

We have developed an integrated platform to collect in-home sensor data and performed an observational study to apply machine learning models for agitation and UTI risk analysis.

Data Integration Management +2

Deep Representation for Connected Health: Semi-supervised Learning for Analysing the Risk of Urinary Tract Infections in People with Dementia

no code implementations • 27 Nov 2020 • Honglin Li, Magdalena Anita Kolanko, Shirin Enshaeifar, Severin Skillman, Andreas Markides, Mark Kenny, Eyal Soreq, Samaneh Kouchaki, Kirsten Jensen, Loren Cameron, Michael Crone, Paul Freemont, Helen Rostill, David J. Sharp, Ramin Nilforooshan, Payam Barnaghi

Machine learning techniques combined with in-home monitoring technologies provide a unique opportunity to automate diagnosis and early detection of adverse health conditions in long-term conditions such as dementia.