Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke. - Adam Hilbert; Lucas Alexandre Ramos; Hendrikus J. A. van Os; Sílvia D. Olabarriaga; Manon L. Tolhuisen; Marieke J. H. Wermer; Renan Sales Barros; Irene C. van der Schaaf; Diederik W. J. Dippel; Yvo B. W. E. M. Roos; Wim H. van Zwam; Albert J. Yoo; et al. (Comput. Biol. Medicine, 2019)

Developing clinical prediction models using primary care electronic health record data - the impact of methodological choices on model performance. - Hendrikus J. A. van Os; Jos P. Kanning; Marieke J. H. Wermer; Niels H. Chavannes; Mattijs E. Numans; Ynte M. Ruigrok; Erik W. van Zwet; Ewout W. Steyerberg; Hein Putter; Rolf H. H. Groenwold (AMIA, 2021)

Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke. - N. Kappelhof; Lucas Alexandre Ramos; M. Kappelhof; Hendrikus J. A. van Os; V. Chalos; K. R. van Kranendonk; N. D. Kruyt; Yvo B. W. E. M. Roos; Wim H. van Zwam; Irene C. van der Schaaf; Marianne A. A. van Walderveen; Marieke J. H. Wermer; et al. (Comput. Biol. Medicine, 2021)

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. - Anne A. H. de Hond; Artuur M. Leeuwenberg; Lotty Hooft; Ilse M. J. Kant; Steven W. J. Nijman; Hendrikus J. A. van Os; Jiska J. Aardoom; Thomas P. A. Debray; Ewoud Schuit; Maarten van Smeden; Johannes B. Reitsma; Ewout W. Steyerberg; et al. (npj Digit. Medicine, 2022)