Andrew P. Creagh

Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones

Maarten De Vos, Florian Lipsmeier, Michael Lindemann, 2021, Scientific Reports.

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

Alan K. Bourke, Maarten De Vos, Alf Scotland, 2020, IEEE Journal of Biomedical and Health Informatics.

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

Andrew P. Creagh, D. Clifton, Valentin Hamy, 2022, medRxiv.

Synthesizing Mixed-type Electronic Health Records using Diffusion Models

Ghadeer O. Ghosheh, Andrew P. Creagh, A. Creagh, 2023, ArXiv.

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones

Andrew P. Creagh, M. Vos, F. Lipsmeier, 2022, IEEE Journal of Biomedical and Health Informatics.

Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review

Andrew P. Creagh, D. Clifton, Yuan-ting Zhang, 2023, IEEE Reviews in Biomedical Engineering.

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

Ho Bich Hai, Andrew P. Creagh, Ping Lu, 2023, Sensors.

Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones

Andrew P. Creagh, F. Lipsmeier, F. Dondelinger, 2022, IEEE Open Journal of Engineering in Medicine and Biology.

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

Andrew P. Creagh, D. Clifton, A. Creagh, 2022, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).