2024
Tsang KCH. Enhancing Asthma Self-Management with Environmental Passive-Monitoring Data and Machine Learning-Based Predictions. Studies in Health Technology and Informatics. 2024;316:700 - 704. doi: 10.3233/SHTI240510
Chan AHY, Te Ao B, Baggott C, Cavadino A, Eikholt AA, …, Tsang KCH, …, Roop P, Harrison J. DIGIPREDICT: physiological, behavioural and environmental predictors of asthma attacks—a prospective observational study using digital markers and artificial intelligence—study protocol. BMJ Open Respiratory Research. 2024;11(1):e002275. doi: 10.1136/bmjresp-2023-002275
2023
Tsang KCH, Pinnock H, Wilson AM, Salvi D, Shah SA. Home Monitoring with Connected Mobile Devices for Asthma Attack Prediction with Machine Learning. Scientific Data, Nature. 2023;10:370. doi: 10.1038/s41597-023-02241-9
Tsang KCH. Application of data-driven technologies for asthma self-management [PhD Thesis]. University of Edinburgh. 2023. doi: 10.7488/era/3313
Budiarto A, Tsang KCH, Wilson AM, Sheikh A, Shah SA. Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review. JMIR AI. 2023;2:e46717. doi: 10.2196/46717
Tsang KCH, Pinnock H, Wilson AM, Salvi D, Olsson CM, Shah SA (2023). Compliance and Usability of an Asthma Home Monitoring System. In: Tsanas, A., Triantafyllidis, A. (eds) Pervasive Computing Technologies for Healthcare. PH 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 488. Springer, Cham. doi: 10.1007/978-3-031-34586-9_9
2022
Tsang KCH, Pinnock H, Wilson AM, Salvi D, Shah SA. Predicting Asthma Attacks Using Connected Mobile Devices and Machine Learning; the AAMOS-00 Observational Study Protocol. BMJ Open. 2022;12:e064166. doi: 10.1136/bmjopen-2022-064166
Tsang KCH, Pinnock H, Wilson AM, Shah SA. Application of Machine Learning Algorithms for Asthma Management with mHealth: A Clinical Review. J Asthma Allergy. 2022;15:855-873. doi: 10.2147/JAA.S285742
Tsang KCH, Pinnock H, Wilson AM, Salvi D, Shah SA. AAMOS-00 Study: Predicting Asthma Attacks Using Connected Mobile Devices and Machine Learning, 2021-2022 [dataset]. University of Edinburgh, Edinburgh Medical School, Usher Institute. 2022. doi: 10.7488/ds/3775
2021
Salvi D, Magnus Olsson C, Ymeri G, Carrasco-López C, Tsang KCH, Shah SA. Mobistudy: Mobile-Based, Platform-Independent, Multi-Dimensional Data Collection for Clinical Studies. In: 11th International Conference on the Internet of Things. ACM; 2021:219-222. doi: 10.1145/3494322.3494363
2020
Tsang KCH, Pinnock H, Wilson AM, Shah SA. Application of Machine Learning to Support Self-Management of Asthma with mHealth. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE; 2020:5673-5677. doi: 10.1109/EMBC44109.2020.9175679