1 code implementation • 20 Jul 2023 • Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Kolanko, David Wingfield, Danielle Wilson, Ramin Nilforooshan, Payam Barnaghi, Eyal Soreq
Using the COVID-19 pandemic as a natural experiment, we conducted linear mixed-effects modelling to examine changes in mean kitchen activity within a subset of 21 households of PLWD that were continuously monitored for 499 days.
no code implementations • 8 Aug 2022 • Margherita Rosnati, Eyal Soreq, Miguel Monteiro, Lucia Li, Neil S. N. Graham, Karl Zimmerman, Carlotta Rossi, Greta Carrara, Guido Bertolini, David J. Sharp, Ben Glocker
We compare the predictive power of our proposed features to the Marshall score, independently and when paired with classic TBI biomarkers.
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.