144 citations · 149 across the 5 of their papers we have counts for
5 papers
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan +3
Electronic Health Records (EHRs) contain sensitive patient information, which presents privacy concerns when sharing such data. Synthetic data generation is a promising solution to…
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones
Oliver Y. Chén, Florian Lipsmeier, Huy Phan +5
Personalized longitudinal disease assessment is central to quickly diagnosing, appropriately managing, and optimally adapting the therapeutic strategy of multiple sclerosis (MS). I…
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling
Taha Ceritli, Andrew P. Creagh, David A. Clifton
A particular challenge for disease progression modeling is the heterogeneity of a disease and its manifestations in the patients. Existing approaches often assume the presence of a…
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
Hang Yuan, Shing Chan, Andrew P. Creagh +4
Advances in deep learning for human activity recognition have been relatively limited due to the lack of large labelled datasets. In this study, we leverage self-supervised learnin…
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones
Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann +1
The emergence of digital technologies such as smartphones in healthcare applications have demonstrated the possibility of developing rich, continuous, and objective measures of mul…