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Julio Vega
Julio Vega
University of Pittsburgh
Verified email at manchester.ac.uk
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Cited by
Cited by
Year
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
412017
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
282018
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
162021
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
122020
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
112020
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
102017
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
92018
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
92016
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
72021
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
62021
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
62019
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
52017
CHI 2018
N van Berkel, J Vega, A Kariryaa, CE Smith, Y Yuan
IEEE Pervasive Computing 17 (3), 58-63, 2018
22018
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
22016
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
12021
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
12021
Computational methods for predicting human behaviour in smart environments
R Dunne, O Matthews, J Vega, S Harper, T Morris
12020
Unobtrusive and Personalised Monitoring of Parkinson's Disease Using Smartphones
JV Hernandez
PQDT-UK & Ireland, 2019
12019
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
12016
Parkinson’s disease progression assessment using behavioural inferences and smartphones (PANDAS)
J Vega
12016
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