Чланци са овлашћеним јавним приступом - Jenna RepsСазнајте више
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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
Овлашћења: 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
Овлашћења: 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
Овлашћења: 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
Овлашћења: US National Institutes of Health, US Department of Veterans Affairs, Versus …
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
Овлашћења: UK Medical Research Council, Wellcome Trust
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
Овлашћења: US National Institutes of Health, European Commission
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
Овлашћења: UK Medical Research Council, National Institute for Health Research, UK
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
Овлашћења: US National Institutes of Health
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
Овлашћења: US National Institutes of Health
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, 2020.05. 26.20112649, 2020
Овлашћења: US Department of Veterans Affairs, UK Medical Research Council, National …
Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data
C Yang, EA Fridgeirsson, JA Kors, JM Reps, PR Rijnbeek
Journal of Big Data 11 (1), 7, 2024
Овлашћења: European Commission
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
Овлашћења: European Commission, Government of Spain
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
Овлашћења: US National Institutes of Health, Patient-Centered Outcomes Research Institute
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
Овлашћења: Bill & Melinda Gates Foundation, US National Institutes of Health, US …
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
Овлашћења: 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
Овлашћења: Gordon and Betty Moore Foundation
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
Овлашћења: European Commission
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
Овлашћења: US National Institutes of Health, US Department of Veterans Affairs, UK …
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
Овлашћења: European Commission
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
LH John, JA Kors, JM Reps, PB Ryan, PR Rijnbeek
International Journal of Medical Informatics 163, 104762, 2022
Овлашћења: European Commission
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