| A review of novelty detection MAF Pimentel, DA Clifton, L Clifton, L Tarassenko Signal processing 99, 215-249, 2014 | 2086 | 2014 |
| Toward a robust estimation of respiratory rate from pulse oximeters MAF Pimentel, AEW Johnson, PH Charlton, D Birrenkott, PJ Watkinson, ... IEEE Transactions on Biomedical Engineering 64 (8), 1914-1923, 2016 | 385 | 2016 |
| Breathing rate estimation from the electrocardiogram and photoplethysmogram: A review PH Charlton, DA Birrenkott, T Bonnici, MAF Pimentel, AEW Johnson, ... IEEE reviews in biomedical engineering 11, 2-20, 2017 | 380 | 2017 |
| A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data M Ghassemi, M Pimentel, T Naumann, T Brennan, D Clifton, P Szolovits, ... Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 285 | 2015 |
| The association between the neutrophil-to-lymphocyte ratio and mortality in critical illness: an observational cohort study JD Salciccioli, DC Marshall, MAF Pimentel, MD Santos, T Pollard, LA Celi, ... Critical care 19, 1-8, 2015 | 264 | 2015 |
| Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors L Clifton, DA Clifton, MAF Pimentel, PJ Watkinson, L Tarassenko IEEE journal of biomedical and health informatics 18 (3), 722-730, 2013 | 243 | 2013 |
| Multitask Gaussian processes for multivariate physiological time-series analysis R Dürichen, MAF Pimentel, L Clifton, A Schweikard, DA Clifton IEEE transactions on biomedical engineering 62 (1), 314-322, 2014 | 195 | 2014 |
| Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ECG F Andreotti, O Carr, MAF Pimentel, A Mahdi, M De Vos 2017 computing in cardiology (CINC), 1-4, 2017 | 191 | 2017 |
| A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: A multi-centre … MAF Pimentel, OC Redfern, S Gerry, GS Collins, J Malycha, D Prytherch, ... Resuscitation 134, 147-156, 2019 | 187 | 2019 |
| Gaussian processes for personalized e-health monitoring with wearable sensors L Clifton, DA Clifton, MAF Pimentel, PJ Watkinson, L Tarassenko IEEE Transactions on Biomedical Engineering 60 (1), 193-197, 2012 | 153 | 2012 |
| The national early warning score 2 (NEWS2) GB Smith, OC Redfern, MAF Pimentel, S Gerry, GS Collins, J Malycha, ... Clinical Medicine 19 (3), 260, 2019 | 146 | 2019 |
| Making big data useful for health care: a summary of the inaugural mit critical data conference O Badawi, T Brennan, LA Celi, M Feng, M Ghassemi, A Ippolito, ... JMIR medical informatics 2 (2), e3447, 2014 | 99 | 2014 |
| Hyperdynamic left ventricular ejection fraction in the intensive care unit JR Paonessa, T Brennan, M Pimentel, D Steinhaus, M Feng, LA Celi Critical Care 19, 1-7, 2015 | 86 | 2015 |
| Remote health diagnosis and monitoring in the time of COVID-19 JA Behar, C Liu, K Kotzen, K Tsutsui, VDA Corino, J Singh, MAF Pimentel, ... Physiological measurement 41 (10), 10TR01, 2020 | 82 | 2020 |
| Trajectories of vital signs in patients with COVID-19 MAF Pimentel, OC Redfern, R Hatch, JD Young, L Tarassenko, ... Resuscitation 156, 99-106, 2020 | 75 | 2020 |
| Detecting deteriorating patients in the hospital: development and validation of a novel scoring system MAF Pimentel, OC Redfern, J Malycha, P Meredith, D Prytherch, J Briggs, ... American journal of respiratory and critical care medicine 204 (1), 44-52, 2021 | 73 | 2021 |
| A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography DA Birrenkott, MAF Pimentel, PJ Watkinson, DA Clifton IEEE Transactions on Biomedical Engineering 65 (9), 2033-2041, 2017 | 73 | 2017 |
| Probabilistic estimation of respiratory rate from wearable sensors MAF Pimentel, PH Charlton, DA Clifton Wearable Electronics Sensors: For Safe and Healthy Living, 241-262, 2015 | 72 | 2015 |
| Heart beat detection in multimodal physiological data using a hidden semi-Markov model and signal quality indices MAF Pimentel, MD Santos, DB Springer, GD Clifford Physiological measurement 36 (8), 1717, 2015 | 60 | 2015 |
| Modelling physiological deterioration in post-operative patient vital-sign data MAF Pimentel, DA Clifton, L Clifton, PJ Watkinson, L Tarassenko Medical & biological engineering & computing 51, 869-877, 2013 | 57 | 2013 |
David A. CliftonChair of Clinical Machine Learning, University of OxfordZweryfikowany adres z eng.ox.ac.uk