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Jenna Reps
Jenna Reps
Researchers of Computer Science, Nottingham University
Verified email at nottingham.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
12122017
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
1802018
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
1772020
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
1252020
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
812014
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
692018
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 24 (1), 119-131, 2021
602021
Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network
RD Williams, AF Markus, C Yang, T Duarte-Salles, SL DuVall, T Falconer, ...
BMC Medical Research Methodology 22 (1), 35, 2022
452022
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
452018
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
382019
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, 2381-2397, 2013
36*2013
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
332016
Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke …
JM Reps, RD Williams, SC You, T Falconer, E Minty, A Callahan, PB Ryan, ...
BMC medical research methodology 20, 1-10, 2020
312020
Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network
Q Wang, JM Reps, KF Kostka, PB Ryan, Y Zou, EA Voss, PR Rijnbeek, ...
PLoS One 15 (1), e0226718, 2020
312020
Machine-learning model to predict the cause of death using a stacking ensemble method for observational data
C Kim, SC You, JM Reps, JY Cheong, RW Park
Journal of the American Medical Informatics Association 28 (6), 1098-1107, 2021
272021
Quiet in class: classification, noise and the dendritic cell algorithm
F Gu, J Feyereisl, R Oates, J Reps, J Greensmith, U Aickelin
Artificial Immune Systems: 10th International Conference, ICARIS 2011 …, 2011
262011
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
242015
Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases
U Chandran, J Reps, PE Stang, PB Ryan
PLoS One 14 (12), e0226255, 2019
222019
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), 2018
212018
DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models
C Luo, MN Islam, NE Sheils, J Buresh, J Reps, MJ Schuemie, PB Ryan, ...
Nature communications 13 (1), 1678, 2022
192022
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