| Web use for symptom appraisal of physical health conditions: a systematic review J Mueller, C Jay, S Harper, A Davies, J Vega, C Todd Journal of medical Internet research 19 (6), e6755, 2017 | 41 | 2017 |
| Back to analogue: Self-reporting for Parkinson's Disease J Vega, S Couth, E Poliakoff, S Kotz, M Sullivan, C Jay, M Vigo, S Harper Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018 | 28 | 2018 |
| Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis: exploratory study KO Asare, Y Terhorst, J Vega, E Peltonen, E Lagerspetz, D Ferreira JMIR mHealth and uHealth 9 (7), e26540, 2021 | 16 | 2021 |
| Smartphone-based monitoring of Parkinson disease: quasi-experimental study to quantify hand tremor severity and medication effectiveness E Kuosmanen, F Wolling, J Vega, V Kan, Y Nishiyama, S Harper, ... JMIR mHealth and uHealth 8 (11), e21543, 2020 | 12 | 2020 |
| Shaping the design of smartphone-based interventions for self-harm M Honary, B Bell, S Clinch, J Vega, L Kroll, A Sefi, R McNaney Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 11 | 2020 |
| Unobtrusive monitoring of Parkinson's disease based on digital biomarkers of human behaviour J Vega, C Jay, M Vigo, S Harper Proceedings of the 19th International ACM SIGACCESS Conference on Computers …, 2017 | 10 | 2017 |
| Mobile-based Monitoring of Parkinson's Disease E Kuosmanen, V Kan, A Visuri, J Vega, Y Nishiyama, AK Dey, S Harper, ... Proceedings of the 17th International Conference on Mobile and Ubiquitous …, 2018 | 9 | 2018 |
| Monitoring Parkinson's Disease Progression Using Behavioural Inferences, Mobile Devices and Web Technologies J Vega Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 9 | 2016 |
| Reproducible analysis pipeline for data streams: open-source software to process data collected with mobile devices J Vega, M Li, K Aguillera, N Goel, E Joshi, K Khandekar, KC Durica, ... Frontiers in Digital Health 3, 2021 | 7 | 2021 |
| Digital biomarkers of symptom burden self-reported by perioperative patients undergoing pancreatic surgery: prospective longitudinal study CA Low, M Li, J Vega, KC Durica, D Ferreira, V Tam, M Hogg, H Zeh III, ... JMIR cancer 7 (2), e27975, 2021 | 6 | 2021 |
| Challenges of Parkinson's Disease: User Experiences with STOP E Kuosmanen, V Kan, J Vega, A Visuri, Y Nishiyama, AK Dey, S Harper, ... Proceedings of the 21st International Conference on Human-Computer …, 2019 | 6 | 2019 |
| Identifying the challenges of code/theory translation: report from the Code/Theory 2017 workshop C Jay, R Haines, M Vigo, N Matentzoglu, R Stevens, J Boyle, A Davies, ... Research Ideas and Outcomes 3, e13236, 2017 | 5 | 2017 |
| CHI 2018 N van Berkel, J Vega, A Kariryaa, CE Smith, Y Yuan IEEE Pervasive Computing 17 (3), 58-63, 2018 | 2 | 2018 |
| Using web interaction to monitor parkinson's disease progression through behavioural inferences on the web J Vega Proceedings of the 13th International Web for All Conference, 1-3, 2016 | 2 | 2016 |
| Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments D Branco, P Carrington, S Del Din, A Doryab, H Gjoreski, T Guerreiro, ... Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021 | 1 | 2021 |
| Non-invasive intervention for motor signs of Parkinson’s disease: the effect of vibratory stimuli A Macerollo, C Holz, D Cletheror, J Vega, J Moody, G Saul, N Paleyes, ... Journal of Neurology, Neurosurgery & Psychiatry 92 (1), 109-110, 2021 | 1 | 2021 |
| Computational methods for predicting human behaviour in smart environments R Dunne, O Matthews, J Vega, S Harper, T Morris | 1 | 2020 |
| Unobtrusive and Personalised Monitoring of Parkinson's Disease Using Smartphones JV Hernandez PQDT-UK & Ireland, 2019 | 1 | 2019 |
| A technological solution for monitoring Parkinson's disease: A patient-based perspective on necessity, usability and acceptability S Couth, E Poliakoff, J Vega, C Jay, S Harper, R Almutiry, TF Cootes, ... MOVEMENT DISORDERS 31, S464-S464, 2016 | 1 | 2016 |
| Parkinson’s disease progression assessment using behavioural inferences and smartphones (PANDAS) J Vega | 1 | 2016 |
Simon HarperSchool of Computer Science, University of ManchesterVerified email at manchester.ac.uk
