An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group. - Premika S. W. Boedhoe; Martijn W. Heymans; Lianne Schmaal; Yoshinari Abe; Pino Alonso; Stephanie H. Ameis; Alan Anticevic; Paul D. Arnold; Marcelo C. Batistuzzo; Francesco Benedetti; Jan Carl Beucke; Irene Bollettini; et al. (Frontiers Neuroinformatics, 2018)

Transformer-Based Deep Survival Analysis. - Shi Hu; Egill A. Fridgeirsson; Guido van Wingen; Max Welling (SPACA, 2021)

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; et al. (J. Am. Medical Informatics Assoc., 2022)

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; et al. (MedInfo, 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 (MIE, 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 (MIE, 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., 2023)

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)

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)

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)

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, 2024)

Clinical semantics for lung cancer prediction. - Luis H. John; Jan A. Kors; Jenna Marie Reps; Peter R. Rijnbeek; Egill A. Fridgeirsson (CoRR, 2025)