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Patrick McSharry

Observed names: McSharry, Patrick, McSharry, Patrick E., Mcsharry, Patrick, P. E. McSharry, P. McSharry, P.E. McSharry, PATRICK E. McSHARRY, Patrick E McSharry, Patrick E. McSharry, Patrick E. Mcsharry, Patrick Mcsharry
Observed institutions: TIAS School for Business and Society, Harvard University, Trinity College Dublin, University of Oxford, University of Rwanda, Carnegie Mellon University Africa, Carnegie Mellon University, London School of Economics and Political Science
ORCID: 0000-0003-4663-970X
Observed ORCID: 0000-0003-4663-970X
OpenAlex ID: A5053305605
A dynamical model for generating synthetic electrocardiogram signals
2003 · P.E. McSharry, G.D. Clifford, et al. · IEEE Transactions on Biomedical Engineering · 1,265
Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease
2008 · Max Little, Patrick McSharry, et al. · Nature Precedings · 1,241
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Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
2007 · Max Little, Patrick McSharry, et al. · Nature Precedings · 921
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Advanced Methods And Tools for ECG Data Analysis
2006 · Gari D. Clifford, Francisco Azuaje, et al. · 808
Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease
2012 · A. Tsanas, M. A. Little, et al. · IEEE Transactions on Biomedical Engineering · 751
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Short-Term Load Forecasting Methods: An Evaluation Based on European Data
2007 · James W. Taylor, Patrick E. McSharry · IEEE Transactions on Power Systems · 632
A comparison of univariate methods for forecasting electricity demand up to a day ahead
2005 · James W. Taylor, Lilian M. de Menezes, et al. · International Journal of Forecasting · 485
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Wind Power Density Forecasting Using Ensemble Predictions and Time Series Models
2009 · James W. Taylor, Patrick E. McSharry, et al. · IEEE Transactions on Energy Conversion · 365
Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity
2010 · Athanasios Tsanas, Max A. Little, et al. · Journal of The Royal Society Interface · 334
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Prediction of epileptic seizures: are nonlinear methods relevant?
2003 · Patrick E. McSharry, Leonard A. Smith, et al. · Nature Medicine · 247
Mathematical and computational techniques to deduce complex biochemical reaction mechanisms
2004 · E.J. Crampin, S. Schnell, et al. · Progress in Biophysics and Molecular Biology · 167
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Probabilistic Forecasts of the Magnitude and Timing of Peak Electricity Demand
2005 · P.E. McSharry, S. Bouwman, et al. · IEEE Transactions on Power Systems · 160
Better Nonlinear Models from Noisy Data: Attractors with Maximum Likelihood
1999 · Patrick E. McSharry, Leonard A. Smith · Physical Review Letters · 98
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Remote health diagnosis and monitoring in the time of COVID-19
2020 · Joachim A Behar, Chengyu Liu, et al. · Physiological Measurement · 97
Nonlinear, Biophysically-Informed Speech Pathology Detection
2006 · M. Little, P. McSharry, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 97
Reliability diagrams for non‐parametric density forecasts of continuous variables: Accounting for serial correlation
2010 · Pierre Pinson, Patrick McSharry, et al. · Quarterly Journal of the Royal Meteorological Society · 92
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Constructing spatiotemporal poverty indices from big data
2016 · Christopher Njuguna, Patrick McSharry · Journal of Business Research · 91
Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa
2021 · Charles K. Mutai, Patrick E. McSharry, et al. · BMC Medical Research Methodology · 89
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How well do experience curves predict technological progress? A method for making distributional forecasts
2017 · François Lafond, Aimee Gotway Bailey, et al. · Technological Forecasting and Social Change · 89
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Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression
2010 · Athanasios Tsanas, Max A. Little, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 86
Characterizing artefact in the normal human 24-hour RR time series to aid identification and artificial replication of circadian variations in human beat to beat heart rate using a simple threshold
2003 · G.D. Clifford, P.E. McSharry, et al. · Computers in cardiology · 79
A global analysis of the effectiveness of policy responses to COVID-19
2023 · Kwadwo Agyapon-Ntra, Patrick E. McSharry · Scientific Reports · 77
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Linear and non-linear methods for automatic seizure detection in scalp electro-encephalogram recordings
2002 · P. E. McSharry, T. He, et al. · Medical & Biological Engineering & Computing · 77
Preparation for football competition at moderate to high altitude
2008 · C. J. Gore, P. E. McSharry, et al. · Scandinavian Journal of Medicine and Science in Sports · 68
Comparison of predictability of epileptic seizures by a linear and a nonlinear method
2003 · P.E. McSharry, L.A. Smith, et al. · IEEE Transactions on Biomedical Engineering · 66
Works count: 130
Citation count: 10,630
H-index: 35
I10-index: 67
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