Andrew P. Creagh

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Diffusion Model

Multiple Sclerosis

Electronic Health Records

Top Venues

IEEE J. Biomed. Health Informatics

Healthcare AI and COVID-19 Workshop

Publications

Andrew P. Creagh, Valentin Hamy, Hang Yuan, Gert Mertes, Ryan Tomlinson, Wen-Hung Chen, Rachel Williams, Christopher Llop, Christopher Yee, Mei Sheng Duh, Aiden R. Doherty, Luis Garcia-Gancedo, David A. Clifton
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digit. Medicine 7 (1) (2024)
Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton
Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR (2023)
Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Ping Lu, Andrew P. Creagh, Huiqi Y. Lu, Ho Bich Hai, Louise Thwaites, David A. Clifton
2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries. Sensors 23 (18) (2023)
Taha Ceritli, Andrew P. Creagh, David A. Clifton
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. CoRR (2022)
Taha Ceritli, Andrew P. Creagh, David A. Clifton
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. BHI (2022)
Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden Doherty
Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data. CoRR (2022)
Taha Ceritli, Andrew P. Creagh, David A. Clifton
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. Healthcare AI and COVID-19 Workshop (2022)
Andrew P. Creagh, Cedric Simillion, Alan K. Bourke, Alf Scotland, Florian Lipsmeier, Corrado Bernasconi, Johan van Beek, Mike Baker, Christian Gossens, Michael Lindemann, Maarten De Vos
Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, Maarten De Vos
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones. CoRR (2021)