Marteen Van Smeden

49PUBLICATIONS
209CO-AUTHORS
Neural networksAdolescent healthBioinformatic methods developmentAdversarial machine learningEpidemiological modelling
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Publications (49)

|Mar 16, 2026
Signal or noise? Evaluating commonly used attribution methods for explaining deep neural networks in electrocardiogram classification.

Bauke K O Arends, Wouter A C van Amsterdam, Pim van der Harst

|Aug 27, 2025
Correction: What can we learn from scoliosis in children with the 22q11.2 deletion syndrome? Prognostic factors at pre-adolescent age for fast progressive, mild and self-resolving forms during adolescence.

Sabrina Donzelli, Peter Lafranca, Maarten van Smeden

|Mar 24, 2025
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods.

Karel G M Moons, Johanna A A Damen, Tabea Kaul

|Mar 20, 2025
What can we learn from scoliosis in children with the 22q11.2 deletion syndrome? Prognostic factors at pre-adolescent age for fast progressive, mild and self-resolving forms during adolescence.

Sabrina Donzelli, Peter Lafranca, Maarten Van Smeden

|Jan 27, 2025
The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study.

Alex Carriero, Kim Luijken, Anne de Hond

|Jan 21, 2025
Development and internal validation of a diagnostic prediction model for life-threatening events in callers with shortness of breath: a cross-sectional study in out-of-hours primary care.

Michelle Spek, Roderick P Venekamp, Anne Ah de Hond

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Frequent Collaborators

16 joint publications

Ben van Calster

6 joint publications

Ewout W Steyerberg

6 joint publications

Laure Wynants

5 joint publications

Richard D Riley