Peter R. Rijnbeek
Orcid: 0000-0003-0621-1979
According to our database1,
Peter R. Rijnbeek
authored at least 31 papers
between 2010 and 2024.
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Bibliography
2024
Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data.
J. Big Data, December, 2024
OHDSI Standardized Vocabularies - a large-scale centralized reference ontology for international data harmonization.
J. Am. Medical Informatics Assoc., February, 2024
2023
European Health Data & Evidence Network - learnings from building out a standardized international health data network.
J. Am. Medical Informatics Assoc., December, 2023
The added value of text from Dutch general practitioner notes in predictive modeling.
J. Am. Medical Informatics Assoc., November, 2023
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases.
npj Digit. Medicine, 2023
Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?
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.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
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.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
A High-Fidelity Combined ATC-Rxnorm Drug Hierarchy for Large-Scale Observational Research.
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.
BMC Medical Informatics Decis. Mak., 2022
Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review.
J. Am. Medical Informatics Assoc., 2022
Use of unstructured text in prognostic clinical prediction models: a systematic review.
J. Am. Medical Informatics Assoc., 2022
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
Int. J. Medical Informatics, 2022
TreatmentPatterns: An R package to facilitate the standardized development and analysis of treatment patterns across disease domains.
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.
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.
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.
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.
J. Big Data, 2021
Increasing trust in real-world evidence through evaluation of observational data quality.
J. Am. Medical Informatics Assoc., 2021
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data.
Comput. Methods Programs Biomed., 2021
2020
2019
BMC Medical Informatics Decis. Mak., 2019
Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status.
J. Biomed. Informatics, 2019
2018
Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.
J. Am. Medical Informatics Assoc., 2018
Proceedings of the Biomedical Engineering Systems and Technologies, 2018
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
2017
J. Biomed. Informatics, 2017
2015
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
2011
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.
Mach. Learn., 2010