Peter R. Rijnbeek

According to our database, Peter R. Rijnbeek authored at least 36 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data.

Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna Marie Reps, Peter R. Rijnbeek

J. Big Data, December, 2024

OHDSI Standardized Vocabularies - a large-scale centralized reference ontology for international data harmonization.

Christian G. Reich, Anna Ostropolets, Patrick B. Ryan, Peter R. Rijnbeek, Martijn J. Schuemie, Alexander Davydov, Dmitry Dymshyts, George Hripcsak

J. Am. Medical Informatics Assoc., February, 2024

Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools.

Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Peter R. Rijnbeek

J. Am. Medical Informatics Assoc., 2024

Comparing penalization methods for linear models on large observational health data.

Egill A. Fridgeirsson, Ross D. Williams, Peter R. Rijnbeek, Marc A. Suchard, Jenna Marie Reps

J. Am. Medical Informatics Assoc., 2024

Using clinical text to refine unspecific condition codes in Dutch general practitioner EHR data.

Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Egill A. Fridgeirsson, Katia M. C. Verhamme, Peter R. Rijnbeek

Int. J. Medical Informatics, 2024

Comparison of deep learning and conventional methods for disease onset prediction.

Luis H. John, Chungsoo Kim, Jan A. Kors, Junhyuk Chang, Hannah Morgan-Cooper, Priya Desai, Chao Pang, Peter R. Rijnbeek, Jenna Marie Reps, Egill A. Fridgeirsson

CoRR, 2024

Assessing the feasibility of observational data sources for multicenter clinical studies.

João Rafael Almeida, Peter R. Rijnbeek, Maxim Moinat, José Luís Oliveira

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023

European Health Data & Evidence Network - learnings from building out a standardized international health data network.

Erica A. Voss, Clair Blacketer, Sebastiaan van Sandijk, Maxim Moinat, Michael Kallfelz, Michel Van Speybroeck, Daniel Prieto-Alhambra, Martijn J. Schuemie, Peter R. Rijnbeek

J. Am. Medical Informatics Assoc., December, 2023

The added value of text from Dutch general practitioner notes in predictive modeling.

Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Egill A. Fridgeirsson, Peter R. Rijnbeek

J. Am. Medical Informatics Assoc., November, 2023

A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases.

Alexandros Rekkas, David van Klaveren, Patrick B. Ryan, Ewout W. Steyerberg, David M. Kent, Peter R. Rijnbeek

npj Digit. Medicine, 2023

Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?

Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna Marie Reps, Peter R. Rijnbeek, Jenna Wong, Ross D. Williams

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models.

Ross D. Williams, Sicco den Otter, Jenna Marie Reps, Peter R. Rijnbeek

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Challenges of Estimating Global Feature Importance in Real-World Health Care Data.

Aniek F. Markus, Egill A. Fridgeirsson, Jan A. Kors, Katia M. C. Verhamme, Peter R. Rijnbeek

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research.

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

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

A High-Fidelity Combined ATC-Rxnorm Drug Hierarchy for Large-Scale Observational Research.

Anna Ostropolets, Polina Talapova, Marcel de Wilde, Hamed Abedtash, Peter R. Rijnbeek, Christian G. Reich

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability.

Jenna Marie Reps, Ross D. Williams, Martijn J. Schuemie, Patrick B. Ryan, Peter R. Rijnbeek

BMC Medical Informatics Decis. Mak., 2022

Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review.

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

J. Am. Medical Informatics Assoc., 2022

Use of unstructured text in prognostic clinical prediction models: a systematic review.

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

J. Am. Medical Informatics Assoc., 2022

Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?

Luis H. John, Jan A. Kors, Jenna Marie Reps, Patrick B. Ryan, Peter R. Rijnbeek

Int. J. Medical Informatics, 2022

TreatmentPatterns: An R package to facilitate the standardized development and analysis of treatment patterns across disease domains.

Aniek F. Markus, Katia M. C. Verhamme, Jan A. Kors, Peter R. Rijnbeek

Comput. Methods Programs Biomed., 2022

Why predicting risk can't identify 'risk factors': empirical assessment of model stability in machine learning across observational health databases.

Aniek F. Markus, Peter R. Rijnbeek, Jenna Marie Reps

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design.

Jenna Marie Reps, Peter R. Rijnbeek, Alana Cuthbert, Patrick B. Ryan, Nicole Pratt, Martijn J. Schuemie

BMC Medical Informatics Decis. Mak., 2021

The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies.

Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek

J. Biomed. Informatics, 2021

Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets.

Jenna Marie Reps, Patrick B. Ryan, Peter R. Rijnbeek, Martijn J. Schuemie

J. Big Data, 2021

Increasing trust in real-world evidence through evaluation of observational data quality.

Clair Blacketer, Frank J. DeFalco, Patrick B. Ryan, Peter R. Rijnbeek

J. Am. Medical Informatics Assoc., 2021

A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data.

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

Comput. Methods Programs Biomed., 2021

2020

How little data do we need for patient-level prediction?

Luis H. John, Jan A. Kors, Jenna Marie Reps, Patrick B. Ryan, Peter R. Rijnbeek

CoRR, 2020

2019

TASKA: A modular task management system to support health research studies.

João Rafael Almeida, Rosa Gini, Giuseppe Roberto, Peter R. Rijnbeek, José Luís Oliveira

BMC Medical Informatics Decis. Mak., 2019

Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status.

Jenna Marie Reps, Peter R. Rijnbeek, Patrick B. Ryan

J. Biomed. Informatics, 2019

2018

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.

Jenna Marie Reps, Martijn J. Schuemie, Marc A. Suchard, Patrick B. Ryan, Peter R. Rijnbeek

J. Am. Medical Informatics Assoc., 2018

Exploring the Value of Electronic Health Records from Multiple Datasets.

Olga Fajarda, Alina Trifan, Michel Van Speybroeck, Peter R. Rijnbeek, José Luís Oliveira

Proceedings of the Biomedical Engineering Systems and Technologies, 2018

A Methodology to Perform Semi-automatic Distributed EHR Database Queries.

Olga Fajarda, Luís A. Bastião Silva, Peter R. Rijnbeek, Michel Van Speybroeck, José Luís Oliveira

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

Accuracy of an automated knowledge base for identifying drug adverse reactions.

Erica A. Voss, Richard D. Boyce, Patrick B. Ryan, Johan van der Lei, Peter R. Rijnbeek, Martijn J. Schuemie

J. Biomed. Informatics, 2017

2015

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

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

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

2011

Alignment of 4D Coronary CTA with Monoplane X-ray Angiography.

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

Proceedings of the Augmented Environments for Computer-Assisted Interventions, 2011

2010

Finding a short and accurate decision rule in disjunctive normal form by exhaustive search.

Peter R. Rijnbeek, Jan A. Kors

Mach. Learn., 2010