Development and Validation of a Machine Learning Model to Predict Contact Moments in Post-Myocardial Infarction Home Measurements. - Anne A. H. de Hond; Esmee Stoop; Nicole van Keulen; Loes van Winden; Ellen Poorter; Douwe Atsma; Ilse M. J. Kant; Ewout W. Steyerberg (AMIA, 2021)

Prediction of hospital admission from the emergency department: Clinician involvement, intended use, and interpretability. - Anne De Hond; Wouter Raven; Ilse M. J. Kant; Laurens Schinkelshoek; Ewout W. Steyerberg; Bas De Groot (Int. J. Medical Informatics, 2021)

Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope? - Anne De Hond; Wouter Raven; Laurens Schinkelshoek; Menno Gaakeer; Ewoud Ter Avest; Ozcan Sir; Heleen Lameijer; Roger Apa Hessels; Resi Reijnen; Evert de Jonge; Ewout W. Steyerberg; Christian H. Nickel; et al. (Int. J. Medical Informatics, 2021)

Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model. - Anne De Hond; Ilse M. J. Kant; Mattia Fornasa; Giovanni Cinà; Paul W. G. Elbers; Patrick Thoral; M. Sesmu Arbous; Ewout W. Steyerberg (AMIA, 2022)

Predicting Prolonged Opioid Use Following Surgery Using Machine Learning: Challenges and Outcomes. - Behzad Naderalvojoud; Anne A. H. de Hond; Alessandro Shapiro; Jean Coquet; Tina Seto; Tina Hernandez-Boussard (AMIA, 2022)

Commentary: Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins? - Anne De Hond; Ben Van Calster; Ewout W. Steyerberg (Frontiers Digit. Health, 2022)

Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI. - Anne A. H. de Hond; Marieke M. van Buchem; Tina Hernandez-Boussard (J. Am. Medical Informatics Assoc., 2022)

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)

Predicting Depression Risk in Patients with Cancer Using Multimodal Data. - Anne De Hond; Marieke M. van Buchem; Claudio Fanconi; Mohana Roy; Douglas W. Blayney; Ilse M. J. Kant; Ewout W. Steyerberg; Tina Hernandez-Boussard (MIE, 2023)

Perspectives on validation of clinical predictive algorithms. - Anne A. H. de Hond; Vaibhavi B. Shah; Ilse M. J. Kant; Ben Van Calster; Ewout W. Steyerberg; Tina Hernandez-Boussard (npj Digit. Medicine, 2023)

Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models. - Yuqing Wang; Yun Zhao 001; Sara Alessandra Keller; Anne A. H. de Hond; Marieke M. van Buchem; Malvika Pillai; Tina Hernandez-Boussard (CoRR, 2024)

Applying natural language processing to patient messages to identify depression concerns in cancer patients. - Marieke M. van Buchem; Anne A. H. de Hond; Claudio Fanconi; Vaibhavi B. Shah; Max Schüssler; Ilse M. J. Kant; Ewout W. Steyerberg; Tina Hernandez-Boussard (J. Am. Medical Informatics Assoc., 2024)