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The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression2022 Journal of the American Medical Informatics Association article Computer Science Imbalanced Data Classification Techniques Open access
Ruben van den Goorbergh, Maarten van Smeden, Dirk Timmerman, Ben Van Calster
360citations -
Accurate prediction of HLA class II antigen presentation across all loci using tailored data acquisition and refined machine learning2023 Science Advances article Biochemistry, Genetics and Molecular Biology vaccines and immunoinformatics approaches Open access
Jonas Birkelund Nilsson, Saghar Kaabinejadian, Hooman Yari, Michel G.D. Kester, Peter van Balen, William H. Hildebrand, +1 more
170citations -
Four-class EEG Classification for Seizure Prediction and Detection Using a Lightweight CNN-LSTM2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) conference-paper Neuroscience EEG and Brain-Computer Interfaces
Heng Zhang, Dan Wang, Jinlun Ji, Xiaohan Xue, Congyi Sun, Xinyu Wang, +3 more
6citations -
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models2024 Journal of Biomedical Informatics article Computer Science Imbalanced Data Classification Techniques Open access
Marco Piccininni, Maximilian Wechsung, Ben Van Calster, Jessica Lee Rohmann, Stefan Konigorski, Maarten van Smeden
42citations -
Gene and protein sequence features augment HLA class I ligand predictions2024 Cell Reports article Biochemistry, Genetics and Molecular Biology vaccines and immunoinformatics approaches Open access
Kaspar Bresser, Benoît P. Nicolet, Anita Jekő, Wei Wu, Fabricio Loayza‐Puch, Reuven Agami, +3 more
4citations -
Gene and protein sequence features augment HLA class I ligand predictions2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology vaccines and immunoinformatics approaches Open access
Kaspar Bresser, Benoît P. Nicolet, Anita Jekő, Wei Wu, Fabricio Loayza‐Puch, Reuven Agami, +3 more
0citations -
A person-centered, transdiagnostic schema and mode profile approach to predict outcome in time-limited schema group therapy2024 Psychotherapy Research article Psychology Personality Disorders and Psychopathology Open access
Michiel Floris van Vreeswijk, Philip Spinhoven, A.M.E.E. Zedlitz, Miel A P Vugts, Elisabeth H.M. Eurelings-Bontekoe
1citations -
Prediction of lung CT scores of systemic sclerosis by cascaded regression neural networks2022 SPIE Medical Imaging: Computer-Aided Diagnosis conference-paper Medicine Systemic Sclerosis and Related Diseases
Jingnan Jia, Marius Staring, Irene Hernandez Giron, Lucia J. M. Kroft, Anne A. Schouffoer, Berend C. Stoel
2citations -
Novel HLA class I and II insights into the pathogenesis of systemic sclerosis–associated interstitial lung disease2026 Annals of the Rheumatic Diseases article Medicine Systemic Sclerosis and Related Diseases Open access
Carlos Rosa-Baez, Carlos Rangel‐Peláez, Inmaculada Rodriguez‐Martin, Gonzalo Borrego‐Yaniz, Martin Kerick, Alfredo Guillén del Castillo, +17 more
1citations -
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Evi Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
2citations -
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access
E. M. C. Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks2021 arXiv (Cornell University) preprint Medicine Systemic Sclerosis and Related Diseases Open access
Jingnan Jia, Marius Staring, Irene Hernandez Giron, Lucia J.M. Kroft, Anne A. Schouffoer, Berend C. Stoel
0citations -
Machine learning can predict advanced but not early liver disease on brain MRI2025 Zeitschrift für Gastroenterologie conference-paper Medicine Liver Disease Diagnosis and Treatment
Tobias Seibel, Paul‐Henry Koop, Niharika Jakhar, Benjamin P. M. Laevens, Kai Markus Schneider, Carolin Victoria Schneider
0citations -
sncRNA levels predict SNORD105B is a novel biomarker of chronic kidney disease risk and SGLT2 inhibitor response in type 2 diabetes2026 Molecular Therapy — Nucleic Acids article Medicine Chronic Kidney Disease and Diabetes Open access
Juliette A. de Klerk, Roderick C. Slieker, Joline W. J. Beulens, Janneke H D Peerlings, Hailiang Mei, Petra J. M. Elders, +4 more
2citations