default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJenna Reps
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j17]Egill A. Fridgeirsson
, Ross D. Williams, Peter R. Rijnbeek, Marc A. Suchard, Jenna Marie Reps:
Comparing penalization methods for linear models on large observational health data. J. Am. Medical Informatics Assoc. 31(7): 1514-1521 (2024)- [j16]Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna Marie Reps, Peter R. Rijnbeek:
Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data. J. Big Data 11(1): 7 (2024) - 2023
- [j15]Stephen P. Fortin, Jenna Reps, Patrick B. Ryan:
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary. BMC Medical Informatics Decis. Mak. 23(1): 109 (2023) - [c15]Martijn J. Schuemie, Jenna Reps, Adam Black, Frank J. DeFalco, Lee Evans, Egill A. Fridgeirsson, James P. Gilbert, Chris Knoll, Martin Lavallee, Gowtham A. Rao, Peter R. Rijnbeek, Katy Sadowski, Anthony G. Sena, Joel N. Swerdel, Ross D. Williams, Marc A. Suchard:
Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research. MedInfo 2023: 966-970 - [c14]Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna Marie Reps, Peter R. Rijnbeek, Jenna Wong, Ross D. Williams:
Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability? MIE 2023: 129-130 - [c13]Ross D. Williams, Sicco den Otter, Jenna Marie Reps, Peter R. Rijnbeek:
The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models. MIE 2023: 139-140 - 2022
- [j14]Luis H. John, Jan A. Kors, Jenna Marie Reps, Patrick B. Ryan, Peter R. Rijnbeek:
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data? Int. J. Medical Informatics 163: 104762 (2022) - [j13]Jenna Marie Reps, Ross D. Williams, Martijn J. Schuemie, Patrick B. Ryan, Peter R. Rijnbeek:
Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability. BMC Medical Informatics Decis. Mak. 22(1): 142 (2022) - [j12]Stephen P. Fortin, Jenna Reps, Patrick B. Ryan:
Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary. BMC Medical Informatics Decis. Mak. 22(1): 261 (2022) - [c12]Aniek F. Markus, Peter R. Rijnbeek, Jenna Marie Reps:
Why predicting risk can't identify 'risk factors': empirical assessment of model stability in machine learning across observational health databases. MLHC 2022: 828-852 - 2021
- [j11]Sara Khalid, Cynthia Yang, Clair Blacketer, Talita Duarte-Salles, Sergio Fernández-Bertolín, Chungsoo Kim, Rae Woong Park, Jimyung Park, Martijn J. Schuemie, Anthony G. Sena, Marc A. Suchard, Seng Chan You, Peter R. Rijnbeek, Jenna Marie Reps:
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data. Comput. Methods Programs Biomed. 211: 106394 (2021) - [j10]Chungsoo Kim, Seng Chan You, Jenna Marie Reps, Jae Youn Cheong, Rae Woong Park:
Machine-learning model to predict the cause of death using a stacking ensemble method for observational data. J. Am. Medical Informatics Assoc. 28(6): 1098-1107 (2021) - [j9]Jenna Marie Reps, Patrick B. Ryan, Peter R. Rijnbeek, Martijn J. Schuemie:
Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets. J. Big Data 8(1): 108 (2021) - [j8]Jenna Marie Reps, Peter R. Rijnbeek, Alana Cuthbert, Patrick B. Ryan, Nicole Pratt, Martijn J. Schuemie:
An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design. BMC Medical Informatics Decis. Mak. 21(1): 43 (2021) - 2020
- [i18]Luis H. John, Jan A. Kors, Jenna Marie Reps, Patrick B. Ryan, Peter R. Rijnbeek:
How little data do we need for patient-level prediction? CoRR abs/2008.07361 (2020) - [i17]Uwe Aickelin, Jenna Marie Reps, Peer-Olaf Siebers, Peng Li:
Using simulation to incorporate dynamic criteria into multiple criteria decision-making. CoRR abs/2011.09891 (2020)
2010 – 2019
- 2019
- [j7]Jenna Marie Reps, Peter R. Rijnbeek, Patrick B. Ryan:
Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status. J. Biomed. Informatics 97 (2019) - [c11]Noémie Elhadad, Iñigo Urteaga, Alison Callahan, Jenna Reps, Patrick B. Ryan:
Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability. AMIA 2019 - 2018
- [j6]Jenna Marie Reps, Martijn J. Schuemie, Marc A. Suchard, Patrick B. Ryan, Peter R. Rijnbeek:
Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data. J. Am. Medical Informatics Assoc. 25(8): 969-975 (2018) - [j5]Uwe Aickelin, Jenna Marie Reps, Peer-Olaf Siebers, Peng Li:
Using simulation to incorporate dynamic criteria into multiple criteria decision-making. J. Oper. Res. Soc. 69(7): 1021-1032 (2018) - 2016
- [j4]Jenna Marie Reps, Uwe Aickelin, Richard B. Hubbard:
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining. Comput. Biol. Medicine 69: 61-70 (2016) - [i16]Jenna Reps, Zhaoyang Guo, Haoyue Zhu, Uwe Aickelin:
Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining. CoRR abs/1607.05845 (2016) - [i15]Jenna Marie Reps, Uwe Aickelin, Richard B. Hubbard:
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining. CoRR abs/1607.05906 (2016) - [i14]Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Jack E. Gibson, Richard B. Hubbard:
Supervised Adverse Drug Reaction Signalling Framework Imitating Bradford Hill's Causality Considerations. CoRR abs/1607.06198 (2016) - 2015
- [j3]Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Jack E. Gibson, Richard B. Hubbard:
A supervised adverse drug reaction signalling framework imitating Bradford Hill's causality considerations. J. Biomed. Informatics 56: 356-368 (2015) - [c10]Jenna Reps, Zhaoyang Guo, Haoyue Zhu, Uwe Aickelin:
Identifying Candidate Risk Factors for Prescription Drug Side Effects Using Causal Contrast Set Mining. HIS 2015: 45-55 - [i13]Jenna Reps, Uwe Aickelin:
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data. CoRR abs/1502.05938 (2015) - [i12]Jenna Reps, Uwe Aickelin, Jiangang Ma, Yanchun Zhang:
Refining Adverse Drug Reactions using Association Rule Mining for Electronic Healthcare Data. CoRR abs/1502.05943 (2015) - [i11]Jenna Reps, Uwe Aickelin, Jonathan M. Garibaldi, Chris Damski:
Personalising Mobile Advertising Based on Users Installed Apps. CoRR abs/1503.00587 (2015) - 2014
- [b1]Jenna Marie Reps:
Detecting adverse drug reactions in the general practice healthcare database. University of Nottingham, UK, 2014 - [j2]Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. IEEE J. Biomed. Health Informatics 18(2): 537-547 (2014) - [c9]Jenna Marie Reps, Uwe Aickelin, Jonathan M. Garibaldi:
Tuning a multiple classifier system for side effect discovery using genetic algorithms. IEEE Congress on Evolutionary Computation 2014: 910-917 - [c8]Daphne Teck Ching Lai, Jonathan M. Garibaldi, Jenna Reps:
Investigating distance metric learning in semi-supervised fuzzy c-means clustering. FUZZ-IEEE 2014: 1817-1824 - [c7]Jenna Marie Reps, Uwe Aickelin:
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data. ICDM Workshops 2014: 119-126 - [c6]Jenna Reps, Uwe Aickelin, Jonathan M. Garibaldi, Chris Damski:
Personalising Mobile Advertising Based on Users' Installed Apps. ICDM Workshops 2014: 338-345 - [c5]Jenna Marie Reps, Uwe Aickelin, Jiangang Ma, Yanchun Zhang:
Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data. ICDM Workshops 2014: 763-770 - [i10]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Comparison of algorithms that detect drug side effects using electronic healthcare databases. CoRR abs/1409.0748 (2014) - [i9]Grazziela P. Figueredo, Peer-Olaf Siebers, Markus R. Owen, Jenna Reps, Uwe Aickelin:
Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer. CoRR abs/1409.0758 (2014) - [i8]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery. CoRR abs/1409.0768 (2014) - [i7]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs. CoRR abs/1409.0772 (2014) - [i6]Jenna Reps, Uwe Aickelin, Jonathan M. Garibaldi:
Tuning a Multiple Classifier System for Side Effect Discovery using Genetic Algorithms. CoRR abs/1409.1053 (2014) - [i5]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Attributes for Causal Inference in Longitudinal Observational Databases. CoRR abs/1409.5774 (2014) - 2013
- [j1]Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Comput. 17(12): 2381-2397 (2013) - [c4]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Attributes for causal inference in electronic healthcare databases. CBMS 2013: 548-549 - [i4]Jenna Reps, Jan Feyereisl, Jonathan M. Garibaldi, Uwe Aickelin, Jack E. Gibson, Richard B. Hubbard:
Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database. CoRR abs/1307.1078 (2013) - [i3]Feng Gu, Jan Feyereisl, Robert F. Oates, Jenna Reps, Julie Greensmith, Uwe Aickelin:
Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm. CoRR abs/1307.1391 (2013) - [i2]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Discovering Sequential Patterns in a UK General Practice Database. CoRR abs/1307.1411 (2013) - [i1]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Comparing Data-mining Algorithms Developed for Longitudinal Observational Databases. CoRR abs/1307.1584 (2013) - 2012
- [c3]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Discovering sequential patterns in a UK general practice database. BHI 2012: 960-963 - [c2]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Comparing data-mining algorithms developed for longitudinal observational databases. UKCI 2012: 1-8 - 2011
- [c1]Feng Gu, Jan Feyereisl, Robert F. Oates, Jenna Reps, Julie Greensmith, Uwe Aickelin:
Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm. ICARIS 2011: 173-186
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-29 21:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
