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Explainable Benchmarking for Iterative Optimization Heuristics2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Metaheuristic Optimization Algorithms Research
Bas van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2citations -
Prediction of Severe Gastrointestinal Bleeding Events in Hemodialysis: Collaborative Development of Machine Learning Model Within INSPIRE2021 Journal of the American Society of Nephrology conference-abstract Medicine Dialysis and Renal Disease Management
Suman Kumar Lama, Sheetal Chaudhuri, Joanna L. Willetts, John W. Larkin, Anke C. Winter, Manuela Stauss‐Grabo, +6 more
0citations -
A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes2025 Frontiers in Nutrition article Health Professions Artificial Intelligence in Healthcare Open access
Shuheng Yang, Ralf Weiskirchen, Wenjing Zheng, Xiaobo Hu, Zhiguo Liu, Hualin Wang
5citations -
Let’s ask the patient: disease prediction based on patients’ symptom descriptions in free text2025 Rheumatology Advances in Practice article Health Professions Artificial Intelligence in Healthcare Open access
Inés Pérez-Sancristóbal, Nils Steinz, Ling Qin, Tjardo Daniël Maarseveen, Floor Dijkstra Zegers, Barbara Bislawska Axnäs, +2 more
0citations -
Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study2026 JMIR Medical Informatics article Health Professions Artificial Intelligence in Healthcare Open access
Hielke Muizelaar, Marcel Haas, Maarten O van Aken, Rimke Cathelijne Vos, Marco René Spruit
0citations -
Abstract A051: Multi-omic explainable machine learning improves cancer treatment outcome prediction2025 Clinical Cancer Research conference-abstract Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies
Khoa Anh Tran, Venkateswar Addala, Lambros T. Koufariotis, Jia Zhang, Scott Wood, Conrad Leonard, +10 more
2citations -
Analysis code and derived data for: Demographic Shortcuts Account for Most of the Apparent Accuracy of Four-Class Gait-Based Differential Diagnosis in Neurodegenerative Disease: An Interpretability-Driven Audit of Machine Learning on a Public Gait Benchmark0citations
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Analysis code and derived data for: Demographic Shortcuts Account for Most of the Apparent Accuracy of Four-Class Gait-Based Differential Diagnosis in Neurodegenerative Disease: An Interpretability-Driven Audit of Machine Learning on a Public Gait Benchmark0citations