Andrew P. Creagh

11 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digit. Medicine 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
2024	J	`jnl`	Self-supervised learning for human activity recognition using 700,000 person-days of wearable data. npj Digit. Medicine Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden R. Doherty
2023	J	`jnl`	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 Ping Lu, Andrew P. Creagh, Huiqi Y. Lu, Ho Bich Hai, Louise Thwaites, David A. Clifton
2023	J	`jnl`	Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. IEEE J. Biomed. Health Informatics Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos
2023	J	`jnl`	Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton
2022	—	`conf`	Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. BHI Taha Ceritli, Andrew P. Creagh, David A. Clifton
2022	—	`conf`	Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. Healthcare AI and COVID-19 Workshop Taha Ceritli, Andrew P. Creagh, David A. Clifton
2022	J	`jnl`	Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. CoRR Taha Ceritli, Andrew P. Creagh, David A. Clifton
2022	J	`jnl`	Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data. CoRR Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden R. Doherty
2021	J	`jnl`	Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones. CoRR Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, Maarten De Vos
2021	J	`jnl`	Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test. IEEE J. Biomed. Health Informatics 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