| Can machine-learning improve cardiovascular risk prediction using routine clinical data? SF Weng, J Reps, J Kai, JM Garibaldi, N Qureshi PloS one 12 (4), e0174944, 2017 | 479 | 2017 |
| Safety of hydroxychloroquine, alone and in combination with azithromycin, in light of rapid wide-spread use for COVID-19: a multinational, network cohort and self-controlled … JCE Lane, J Weaves, K Kostka, O Alser, A Prats-Uribe, D NEWBY, ... MedRXiv, 2020 | 107 | 2020 |
| Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data JM Reps, MJ Schuemie, MA Suchard, PB Ryan, PR Rijnbeek Journal of the American Medical Informatics Association 25 (8), 969-975, 2018 | 59 | 2018 |
| Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer GP Figueredo, PO Siebers, MR Owen, J Reps, U Aickelin PloS one 9 (4), e95150, 2014 | 47 | 2014 |
| Comparison of algorithms that detect drug side effects using electronic healthcare databases JM Reps, JM Garibaldi, U Aickelin, D Soria, J Gibson, R Hubbard Soft Computing 17 (12), 2381-2397, 2013 | 30* | 2013 |
| Finding treatment‐resistant depression in real‐world data: How a data‐driven approach compares with expert‐based heuristics MS Cepeda, J Reps, D Fife, C Blacketer, P Stang, P Ryan Depression and anxiety 35 (3), 220-228, 2018 | 26 | 2018 |
| Quiet in class: classification, noise and the dendritic cell algorithm F Gu, J Feyereisl, R Oates, J Reps, J Greensmith, U Aickelin International Conference on Artificial Immune Systems, 173-186, 2011 | 22 | 2011 |
| Illness beliefs predict mortality in patients with diabetic foot ulcers K Vedhara, K Dawe, JNV Miles, MA Wetherell, N Cullum, C Dayan, ... PloS one 11 (4), e0153315, 2016 | 19 | 2016 |
| Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study JCE Lane, J Weaver, K Kostka, T Duarte-Salles, MTF Abrahao, H Alghoul, ... The Lancet Rheumatology 2 (11), e698-e711, 2020 | 17 | 2020 |
| Finding factors that predict treatment‐resistant depression: Results of a cohort study MS Cepeda, J Reps, P Ryan Depression and anxiety 35 (7), 668-673, 2018 | 17 | 2018 |
| A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations JM Reps, JM Garibaldi, U Aickelin, JE Gibson, RB Hubbard Journal of biomedical informatics 56, 356-368, 2015 | 15 | 2015 |
| Discovering sequential patterns in a UK general practice database J Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and …, 2012 | 13 | 2012 |
| Safety of hydroxychloroquine, alone and in combination with azithromycin, in light of rapid wide-spread use for COVID-19: a multinational, network cohort and self-controlled … JCE Lane, J Weaver, K Kostka, T Duarte-Salles, MTF Abrahao, H Alghoul, ... Publisher Full Text, 2020 | 12 | 2020 |
| Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining JM Reps, U Aickelin, RB Hubbard Computers in biology and medicine 69, 61-70, 2016 | 12 | 2016 |
| Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network RD Williams, AF Markus, C Yang, TD Salles, T Falconer, J Jonnagaddala, ... medRxiv, 2020 | 11 | 2020 |
| Refining adverse drug reactions using association rule mining for electronic healthcare data JM Reps, U Aickelin, J Ma, Y Zhang 2014 IEEE International Conference on Data Mining Workshop, 763-770, 2014 | 11 | 2014 |
| Signalling paediatric side effects using an ensemble of simple study designs JM Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard Drug safety 37 (3), 163-170, 2014 | 10 | 2014 |
| Perinatal depressive symptoms often start in the prenatal rather than postpartum period: results from a longitudinal study M Wilcox, BA McGee, DF Ionescu, M Leonte, L LaCross, J Reps, ... Archives of women's mental health, 1-13, 2020 | 9 | 2020 |
| A novel semisupervised algorithm for rare prescription side effect discovery JM Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard IEEE journal of biomedical and health informatics 18 (2), 537-547, 2013 | 9 | 2013 |
| Using machine learning applied to real-world healthcare data for predictive analytics: an applied example in bariatric surgery SS Johnston, JM Morton, I Kalsekar, EM Ammann, CW Hsiao, J Reps Value in Health 22 (5), 580-586, 2019 | 7 | 2019 |
