Julio Vega
Julio Vega
University of Pittsburgh
Verified email at
Cited by
Cited by
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), e202, 2017
Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis: exploratory study
K Opoku Asare, Y Terhorst, J Vega, E Peltonen, E Lagerspetz, D Ferreira
JMIR mHealth and uHealth 9 (7), e26540, 2021
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
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
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
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
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
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
Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis
KO Asare, I Moshe, Y Terhorst, J Vega, S Hosio, H Baumeister, ...
Pervasive and Mobile Computing 83, 101621, 2022
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, 168, 2021
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
Rapids: Reproducible analysis pipeline for data streams collected with mobile devices
J Vega, M Li, K Aguillera, N Goel, E Joshi, KC Durica, AR Kunta, CA Low
J Med Internet Res Preprints. URL: https://preprints. jmir. org/preprint …, 2020
Continuous-time modeling of the bidirectional relationship between incidental affect and physical activity
GR Ruissen, MR Beauchamp, E Puterman, BD Zumbo, RE Rhodes, ...
Annals of Behavioral Medicine 56 (12), 1284-1299, 2022
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
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
Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior
R Yan, WR Ringwald, J Vega, M Kehl, SW Bae, AK Dey, CA Low, ...
Future Generation Computer Systems 132, 266-281, 2022
Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson’s
R McNaney, C Morgan, P Kulkarni, J Vega, F Heidarivincheh, ...
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
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
Computational methods for predicting human behaviour in smart environments
R Dunne, O Matthews, J Vega, S Harper, T Morris
CHI 2018
N Van Berkel, J Vega, A Kariryaa, CE Smith, Y Yuan
IEEE Pervasive Computing 17 (3), 58-63, 2018
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