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2020 – today
- 2024
[j7]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:
Applying natural language processing to patient messages to identify depression concerns in cancer patients. J. Am. Medical Informatics Assoc. 31(10): 2255-2262 (2024)- [i1]Yuqing Wang, Yun Zhao, Sara Alessandra Keller, Anne A. H. de Hond, Marieke M. van Buchem, Malvika Pillai, Tina Hernandez-Boussard:
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models. CoRR abs/2406.12033 (2024) - 2023
- [j6]Anne A. H. de Hond, Vaibhavi B. Shah, Ilse M. J. Kant, Ben Van Calster, Ewout W. Steyerberg, Tina Hernandez-Boussard:
Perspectives on validation of clinical predictive algorithms. npj Digit. Medicine 6 (2023) - [c4]Anne De Hond, Marieke M. van Buchem, Claudio Fanconi, Mohana Roy, Douglas W. Blayney, Ilse M. J. Kant, Ewout W. Steyerberg, Tina Hernandez-Boussard:
Predicting Depression Risk in Patients with Cancer Using Multimodal Data. MIE 2023: 817-818 - 2022
- [j5]Anne De Hond, Ben Van Calster, Ewout W. Steyerberg:
Commentary: Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins? Frontiers Digit. Health 4: 923944 (2022) - [j4]Anne A. H. de Hond, Marieke M. van Buchem, Tina Hernandez-Boussard:
Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI. J. Am. Medical Informatics Assoc. 29(12): 2178-2181 (2022) - [j3]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, Niels H. Chavannes, Karel G. M. Moons:
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. npj Digit. Medicine 5 (2022) - [c3]Anne De Hond, Ilse M. J. Kant, Mattia Fornasa, Giovanni Cinà, Paul W. G. Elbers, Patrick Thoral, M. Sesmu Arbous, Ewout W. Steyerberg:
Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model. AMIA 2022 - [c2]Behzad Naderalvojoud, Anne A. H. de Hond, Alessandro Shapiro, Jean Coquet, Tina Seto, Tina Hernandez-Boussard:
Predicting Prolonged Opioid Use Following Surgery Using Machine Learning: Challenges and Outcomes. AMIA 2022 - 2021
- [j2]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, Bas De Groot:
Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope? Int. J. Medical Informatics 152: 104496 (2021) - [j1]Anne De Hond, Wouter Raven, Ilse M. J. Kant, Laurens Schinkelshoek, Ewout W. Steyerberg, Bas De Groot:
Prediction of hospital admission from the emergency department: Clinician involvement, intended use, and interpretability. Int. J. Medical Informatics 155: 104585 (2021) - [c1]Anne A. H. de Hond, Esmee Stoop, Nicole van Keulen, Loes van Winden, Ellen Poorter, Douwe Atsma, Ilse M. J. Kant, Ewout W. Steyerberg:
Development and Validation of a Machine Learning Model to Predict Contact Moments in Post-Myocardial Infarction Home Measurements. AMIA 2021
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