Jenna Reps
Jenna Reps
Researchers of Computer Science, Nottingham University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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, ...
medRxiv, 2020
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
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
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
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
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
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
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
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
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
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
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
Treatment resistant depression incidence estimates from studies of health insurance databases depend strongly on the details of the operating definition
D Fife, J Reps, MS Cepeda, P Stang, M Blacketer, J Singh
Heliyon 4 (7), e00707, 2018
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
A signalome screening approach in the autoinflammatory disease TNF receptor associated periodic syndrome (TRAPS) highlights the anti-inflammatory properties of drugs for …
I Todd, OH Negm, J Reps, P Radford, G Figueredo, EM McDermott, ...
Pharmacological Research 125, 188-200, 2017
Investigating distance metric learning in semi-supervised fuzzy c-means clustering
DTC Lai, JM Garibaldi, J Reps
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1817-1824, 2014
Attributes for causal inference in electronic healthcare databases
J Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard
Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013
The system can't perform the operation now. Try again later.
Articles 1–20