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John Prince
John Prince
Eko | Machine Learning
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Zitiert von
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Deep learning algorithm for automated cardiac murmur detection via a digital stethoscope platform
JS Chorba, AM Shapiro, L Le, J Maidens, J Prince, S Pham, MM Kanzawa, ...
Journal of the American Heart Association 10 (9), e019905, 2021
912021
Multi-source ensemble learning for the remote prediction of Parkinson's disease in the presence of source-wise missing data
J Prince, F Andreotti, M De Vos
IEEE Transactions on Biomedical Engineering 66 (5), 1402-1411, 2018
802018
Discriminating progressive supranuclear palsy from Parkinson's disease using wearable technology and machine learning
M De Vos, J Prince, T Buchanan, JJ FitzGerald, CA Antoniades
Gait & Posture 77, 257-263, 2020
672020
Big data in Parkinson’s disease: using smartphones to remotely detect longitudinal disease phenotypes
J Prince, S Arora, M de Vos
Physiological measurement 39 (4), 044005, 2018
612018
A deep learning framework for the remote detection of Parkinson’s disease using smart-phone sensor data
J Prince, M De Vos
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
552018
Building a machine-learning framework to remotely assess Parkinson's disease using smartphones
OY Chén, F Lipsmeier, H Phan, J Prince, KI Taylor, C Gossens, ...
IEEE Transactions on Biomedical Engineering 67 (12), 3491-3500, 2020
482020
Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus
HTH Duong, GA Tadesse, PTH Nhat, N Van Hao, J Prince, TD Duong, ...
The American journal of tropical medicine and hygiene 102 (2), 403, 2020
422020
Digital messaging to support control for type 2 diabetes (StAR2D): a multicentre randomised controlled trial
A Farmer, K Bobrow, N Leon, N Williams, E Phiri, H Namadingo, ...
BMC Public Health 21, 1-14, 2021
192021
Methods and systems for determining a physiological or biological state or condition of a subject
S Venkatraman, J Maidens, A Shapiro, J Prince, SL Pham, C Landgraf
US Patent App. 17/187,344, 2021
192021
Severity detection tool for patients with infectious disease
GA Tadesse, T Zhu, N Le Nguyen Thanh, NT Hung, HTH Duong, ...
Healthcare Technology Letters 7 (2), 45-50, 2020
162020
Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis
OY Chén, H Cao, H Phan, G Nagels, JM Reinen, J Gou, T Qian, J Di, ...
NeuroImage 226, 117508, 2021
102021
Mobile messaging support versus usual care for people with type 2 diabetes on glycemic control: protocol for a multicenter randomized controlled trial
A Farmer, K Bobrow, N Leon, N Williams, E Phiri, H Namadingo, ...
JMIR research protocols 8 (6), e12377, 2019
82019
Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease
J Prince, J Maidens, S Kieu, C Currie, D Barbosa, C Hitchcock, A Saltman, ...
Journal of the American Heart Association 12 (20), e030377, 2023
62023
Evaluation of source-wise missing data techniques for the prediction of parkinson’s disease using smartphones
J Prince, F Andreotti, M De Vos
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
42019
Real World Evaluation of an Artificial Intelligence Enabled Digital Stethoscope for Detecting Undiagnosed Valvular Heart Disease in Primary Care
MA Rancier, I Israel, V Monickam, J Prince, B Verschoore, C Currie
Circulation 148 (Suppl_1), A13244-A13244, 2023
12023
Methods and systems for automated clinical workflows
RN Blair, J Prince, J Maidens, N Bora, T Crouch, J Crivelli-Decker, ...
US Patent App. 17/449,436, 2023
12023
Correction to: Digital messaging to support control for type 2 diabetes (StAR2D): a multicentre randomised controlled trial
A Farmer, K Bobrow, N Leon, N Williams, E Phiri, H Namadingo, ...
BMC Public Health 22, 2022
12022
Objective Assessment of Parkinson's Disease using Machine Learning
J Prince
University of Oxford, 2018
12018
Vital-Sign Monitoring Using Pulse Oximetry for Automated Triage and the Prediction of Patient Deterioration
J Prince
Tese. Doutorado em Filosofia,. Universidade de Oxord: Trinity, 2016
12016
Foundation Models for Cardiovascular Disease Detection via BioSignals from Digital Stethoscopes
G Mathew, D Barbosa, J Prince, S Venkatraman
2024
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