Articles with public access mandates - Jenna RepsLearn more
Available somewhere: 37
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
Mandates: National Institute for Health Research, UK
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
Mandates: US National Science Foundation
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
Mandates: US National Institutes of Health, Versus Arthritis, UK, National Institute …
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
Mandates: US National Institutes of Health, US Department of Veterans Affairs, Versus …
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
Mandates: US National Institutes of Health, US Department of Veterans Affairs, UK …
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
Mandates: UK Medical Research Council, National Institute for Health Research, UK
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
Mandates: US National Institutes of Health, European Commission
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
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health, Patient-Centered Outcomes Research Institute
Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study
A Nestsiarovich, JM Reps, ME Matheny, SL DuVall, KE Lynch, M Beaton, ...
Translational psychiatry 11 (1), 642, 2021
Mandates: US National Institutes of Health
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
S Khalid, C Yang, C Blacketer, T Duarte-Salles, S Fernández-Bertolín, ...
Computer Methods and Programs in Biomedicine 211, 106394, 2021
Mandates: European Commission, Government of Spain
Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets
JM Reps, PB Ryan, PR Rijnbeek, MJ Schuemie
Journal of Big Data 8, 1-18, 2021
Mandates: European Commission
Implementation of the COVID-19 vulnerability index across an international network of health care data sets: collaborative external validation study
JM Reps, C Kim, RD Williams, AF Markus, C Yang, T Duarte-Salles, ...
JMIR medical informatics 9 (4), e21547, 2021
Mandates: Bill & Melinda Gates Foundation, US National Institutes of Health, US …
Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability
JM Reps, RD Williams, MJ Schuemie, PB Ryan, PR Rijnbeek
BMC medical informatics and decision making 22 (1), 142, 2022
Mandates: European Commission
External validation of existing dementia prediction models on observational health data
LH John, JA Kors, EA Fridgeirsson, JM Reps, PR Rijnbeek
BMC Medical Research Methodology 22 (1), 311, 2022
Mandates: European Commission
Machine learning and real-world data to predict lung cancer risk in routine care
U Chandran, J Reps, R Yang, A Vachani, F Maldonado, I Kalsekar
Cancer Epidemiology, Biomarkers & Prevention 32 (3), 337-343, 2023
Mandates: Gordon and Betty Moore Foundation
Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance studies: opportunities, challenges, and considerations
J Wong, D Prieto-Alhambra, PR Rijnbeek, RJ Desai, JM Reps, S Toh
Drug Safety 45 (5), 493-510, 2022
Mandates: European Commission
Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare data
JM Reps, P Ryan, PR Rijnbeek
BMJ open 11 (12), e050146, 2021
Mandates: European Commission
Lossless distributed linear mixed model with application to integration of heterogeneous healthcare data
C Luo, MN Islam, NE Sheils, J Reps, J Buresh, R Duan, J Tong, ...
medRxiv, 2020.11. 16.20230730, 2020
Mandates: Patient-Centered Outcomes Research Institute
Can we trust the prediction model? Demonstrating the importance of external validation by investigating the COVID-19 Vulnerability (C-19) Index across an international network …
JM Reps, C Kim, RD Williams, AF Markus, C Yang, TD Salles, T Falconer, ...
medRxiv, 2020.06. 15.20130328, 2020
Mandates: National Institute for Health Research, UK, Wellcome Trust, European …
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