| Prediction of chronic obstructive pulmonary disease exacerbation events by using patient self-reported data in a digital health app: statistical evaluation and machine learning … FP Chmiel, DK Burns, JB Pickering, A Blythin, TMA Wilkinson, ... JMIR medical informatics 10 (3), e26499, 2022 | 16 | 2022 |
| Computational notebooks as co-design tools: engaging young adults living with diabetes, family carers, and clinicians with machine learning models A Ayobi, J Hughes, CJ Duckworth, JJ Dylag, S James, P Marshall, M Guy, ... Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 13 | 2023 |
| Automatic Geo-alignment of Artwork in Children's Story Books JJ Dylag, V Suarez, J Wald, AA Uvara arXiv preprint arXiv:2304.01204, 2023 | 2 | 2023 |
| Pretrained Language Models for Semantics-Aware Data Harmonisation of Observational Clinical Studies in the Era of Big Data JJ Dylag, Z Zlatev, M Boniface medRxiv, 2024.07. 12.24310136, 2024 | | 2024 |
| Cohort profile for the creation of the SAIL MELD-B e-cohort (SMC) and SAIL MELD-B children and Young adult e-cohort (SMYC) R Chiovoloni, J Dylag, NA Alwan, A Berrington, M Boniface, N Fair, ... medRxiv, 2024.04. 22.24306168, 2024 | | 2024 |
| Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data JJ Dylag arXiv preprint arXiv:2302.12856, 2023 | | 2023 |
