Andrew P. Creagh

According to our database, Andrew P. Creagh authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.

Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden R. Doherty

npj Digit. Medicine, 2024

Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.

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

npj Digit. Medicine, 2024

2023

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.

Ping Lu, Andrew P. Creagh, Huiqi Y. Lu, Ho Bich Hai, Louise Thwaites, David A. Clifton

Sensors, September, 2023

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.

Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos

IEEE J. Biomed. Health Informatics, July, 2023

Synthesizing Mixed-type Electronic Health Records using Diffusion Models.

Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton

CoRR, 2023

2022

Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data.

Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden R. Doherty

CoRR, 2022

Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling.

Taha Ceritli, Andrew P. Creagh, David A. Clifton

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test.

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

IEEE J. Biomed. Health Informatics, 2021

Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones.

Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, Maarten De Vos

CoRR, 2021