Peter R. Rijnbeek

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 34

Top Topics

Prediction Model

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

BMC Medical Informatics Decis. Mak.

Publications

Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Egill A. Fridgeirsson, Katia M. C. Verhamme, Peter R. Rijnbeek
Using clinical text to refine unspecific condition codes in Dutch general practitioner EHR data. Int. J. Medical Informatics 189 (2024)
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) (2024)
Christian G. Reich, Anna Ostropolets, Patrick B. Ryan, Peter R. Rijnbeek, Martijn J. Schuemie, Alexander Davydov, Dmitry Dymshyts, George Hripcsak
OHDSI Standardized Vocabularies - a large-scale centralized reference ontology for international data harmonization. J. Am. Medical Informatics Assoc. 31 (3) (2024)
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) (2024)
Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Peter R. Rijnbeek
Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools. J. Am. Medical Informatics Assoc. 31 (8) (2024)
João Rafael Almeida, Peter R. Rijnbeek, Maxim Moinat, José Luís Oliveira
Assessing the feasibility of observational data sources for multicenter clinical studies. CBMS (2024)
Anna Ostropolets, Polina Talapova, Marcel de Wilde, Hamed Abedtash, Peter R. Rijnbeek, Christian G. Reich
A High-Fidelity Combined ATC-Rxnorm Drug Hierarchy for Large-Scale Observational Research. MedInfo (2023)
Alexandros Rekkas, David van Klaveren, Patrick B. Ryan, Ewout W. Steyerberg, David M. Kent, Peter R. Rijnbeek
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases. npj Digit. Medicine 6 (2023)
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)
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)
Tom M. Seinen, Jan A Kors, Erik M. van Mulligen, Egill Fridgeirsson, Peter R. Rijnbeek
The added value of text from Dutch general practitioner notes in predictive modeling. J. Am. Medical Informatics Assoc. 30 (12) (2023)
Aniek F. Markus, Egill A. Fridgeirsson, Jan A. Kors, Katia M. C. Verhamme, Peter R. Rijnbeek
Challenges of Estimating Global Feature Importance in Real-World Health Care Data. MIE (2023)
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)
Erica A. Voss, Clair Blacketer, Sebastiaan van Sandijk, Maxim Moinat, Michael Kallfelz, Michel van Speybroeck, Daniel Prieto-Alhambra, Martijn J. Schuemie, Peter R. Rijnbeek
European Health Data & Evidence Network - learnings from building out a standardized international health data network. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Cynthia Yang, Jan A. Kors, Solomon Ioannou, Luis H. John, Aniek F. Markus, Alexandros Rekkas, Maria A. J. de Ridder, Tom M. Seinen, Ross D. Williams, Peter R. Rijnbeek
Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review. J. Am. Medical Informatics Assoc. 29 (5) (2022)
Aniek F. Markus, Katia M. C. Verhamme, Jan A. Kors, Peter R. Rijnbeek
TreatmentPatterns: An R package to facilitate the standardized development and analysis of treatment patterns across disease domains. Comput. Methods Programs Biomed. 225 (2022)
Tom M. Seinen, Egill A. Fridgeirsson, Solomon Ioannou, Daniel Jeannetot, Luis H. John, Jan A. Kors, Aniek F. Markus, Victor Pera, Alexandros Rekkas, Ross D. Williams, Cynthia Yang, Erik M. van Mulligen, Peter R. Rijnbeek
Use of unstructured text in prognostic clinical prediction models: a systematic review. J. Am. Medical Informatics Assoc. 29 (7) (2022)
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)
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) (2022)
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 (2022)
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) (2021)
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) (2021)
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 (2021)
Clair Blacketer, Frank J. DeFalco, Patrick B. Ryan, Peter R. Rijnbeek
Increasing trust in real-world evidence through evaluation of observational data quality. J. Am. Medical Informatics Assoc. 28 (10) (2021)
Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies. J. Biomed. Informatics 113 (2021)
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 (2020)
Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies. CoRR (2020)
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)
João Rafael Almeida, Rosa Gini, Giuseppe Roberto, Peter R. Rijnbeek, José Luís Oliveira
TASKA: A modular task management system to support health research studies. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Olga Fajarda, Alina Trifan, Michel Van Speybroeck, Peter R. Rijnbeek, José Luís Oliveira
Exploring the Value of Electronic Health Records from Multiple Datasets. BIOSTEC (Selected Papers) (2018)
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) (2018)
Olga Fajarda, Luís A. Bastião Silva, Peter R. Rijnbeek, Michel Van Speybroeck, José Luís Oliveira
A Methodology to Perform Semi-automatic Distributed EHR Database Queries. HEALTHINF (2018)
Erica A. Voss, Richard D. Boyce, Patrick B. Ryan, Johan van der Lei, Peter R. Rijnbeek, Martijn J. Schuemie
Accuracy of an automated knowledge base for identifying drug adverse reactions. J. Biomed. Informatics 66 (2017)
George Hripcsak, Jon D. Duke, Nigam H. Shah, Christian G. Reich, Vojtech Huser, Martijn J. Schuemie, Marc A. Suchard, Rae Woong Park, Ian Chi Kei Wong, Peter R. Rijnbeek, Johan van der Lei, Nicole Pratt, G. Niklas Norén, Yu-Chuan Li, Paul E. Stang, David Madigan, Patrick B. Ryan
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. MedInfo (2015)
Coert Metz, Michiel Schaap, Stefan Klein, Peter R. Rijnbeek, Lisan Neefjes, Nico Mollet, Carl J. Schultz, Patrick W. Serruys, Wiro J. Niessen, Theo van Walsum
Alignment of 4D Coronary CTA with Monoplane X-ray Angiography. AE-CAI (2011)
Peter R. Rijnbeek, Jan A. Kors
Finding a short and accurate decision rule in disjunctive normal form by exhaustive search. Mach. Learn. 80 (1) (2010)