Research Paper: Randomized Trial of a Clinical Decision Support System: Impact on the Management of Children with Fever without Apparent Source. - Jolt Roukema; Ewout W. Steyerberg; Johan van der Lei; Henriëtte A. Moll (J. Am. Medical Informatics Assoc., 2008)

A decision-analytic approach to define poor prognosis patients: a case study for non-seminomatous germ cell cancer patients. - Merel R. van Dijk; Ewout W. Steyerberg; J. Dik F. Habbema (BMC Medical Informatics Decis. Mak., 2008)

Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators. - Andreas N. Strobl; Andrew J. Vickers; Ben Van Calster; Ewout W. Steyerberg; Robin J. Leach; Ian M. Thompson; Donna P. Ankerst (J. Biomed. Informatics, 2015)

Personal health records in the Netherlands: potential user preferences quantified by a discrete choice experiment. - Domino Determann; Mattijs S. Lambooij; Dorte Gyrd-Hansen; Esther W. de Bekker-Grob; Ewout W. Steyerberg; Marcel Heldoorn; Line Bjørnskov Pedersen; G. Ardine de Wit (J. Am. Medical Informatics Assoc., 2017)

Decision support systems for incurable non-small cell lung cancer: a systematic review. - Dóra Révész; Ellen G. Engelhardt; Hans J. Tamminga; F. M. N. H. Schramel; Bregje D. Onwuteaka-Philipsen; E. M. W. van de Garde; Ewout W. Steyerberg; E. P. Jansma; Henrica C. W. de Vet; Veerle M. H. Coupé (BMC Medical Informatics Decis. Mak., 2017)

Inventory of oncologists' unmet needs for tools to support decision-making about palliative treatment for metastatic colorectal cancer. - Ellen G. Engelhardt; Dóra Révész; Hans J. Tamminga; Cornelis J. A. Punt; Miriam Koopman; Bregje D. Onwuteaka-Philipsen; Ewout W. Steyerberg; Henrica C. W. de Vet; Veerle M. H. Coupé (BMC Medical Informatics Decis. Mak., 2018)

Predictive analytics in health care: how can we know it works? - Ben Van Calster; Laure Wynants; Dirk Timmerman; Ewout W. Steyerberg; Gary S. Collins (J. Am. Medical Informatics Assoc., 2019)

How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach. - Simone A. Cammel; Marit S. De Vos; Daphne van Soest; Kristina M. Hettne; Fred Boer; Ewout W. Steyerberg; Hileen Boosman (BMC Medical Informatics Decis. Mak., 2020)

Iranian general populations' and health care providers' preferences for benefits and harms of statin therapy for primary prevention of cardiovascular disease. - Hassan Saadati; Hamid Reza Baradaran; Goodarz Danaei; Afshin Ostovar; Farzad Hadaegh; Leila Janani; Ewout W. Steyerberg; Davood Khalili (BMC Medical Informatics Decis. Mak., 2020)

Joint models with multiple longitudinal outcomes and a time-to-event outcome: a corrected two-stage approach. - Katya Mauff; Ewout W. Steyerberg; Isabella Kardys; Eric Boersma; Dimitris Rizopoulos (Stat. Comput., 2020)

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)

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)

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)

The digital scribe in clinical practice: a scoping review and research agenda. - Marieke M. van Buchem; Hileen Boosman; Martijn P. Bauer; Ilse M. J. Kant; Simone A. Cammel; Ewout W. Steyerberg (npj Digit. Medicine, 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)

The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence. - Shubhayu Bhattacharyay; Ioan Milosevic; Lindsay Wilson; David K. Menon; Robert D. Stevens 002; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (CoRR, 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)

Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI-PREM). - Marieke M. van Buchem; Olaf M. Neve; Ilse M. J. Kant; Ewout W. Steyerberg; Hileen Boosman; Erik F. Hensen (BMC Medical Informatics Decis. Mak., 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)

Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data. - Siri Lise van der Meijden; Anna van Boekel; Laurens Schinkelshoek; Harry van Goor; Mark de Boer; Ewout W. Steyerberg; Bart Geerts; M. Sesmu Arbous (MIE, 2023)

Contribution of clinical course to outcome after traumatic brain injury: mining patient trajectories from European intensive care unit data. - Shubhayu Bhattacharyay; Pier Francesco Caruso; Cecilia Åkerlund; Lindsay Wilson; Robert D. Stevens 002; David K. Menon; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (CoRR, 2023)

Mining the contribution of intensive care clinical course to outcome after traumatic brain injury. - Shubhayu Bhattacharyay; Pier Francesco Caruso; Cecilia Åkerlund; Lindsay Wilson; Robert D. Stevens 002; David K. Menon; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (npj Digit. Medicine, 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)

A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases. - Alexandros Rekkas; David van Klaveren; Patrick B. Ryan; Ewout W. Steyerberg; David M. Kent; Peter R. Rijnbeek (npj Digit. Medicine, 2023)

Performance evaluation of predictive AI models to support medical decisions: Overview and guidance. - Ben Van Calster; Gary S. Collins; Andrew J. Vickers; Laure Wynants; Kathleen F. Kerr; Lasai Barreñada; Gaël Varoquaux; Karandeep Singh; Karel G. M. Moons; Tina Hernandez-Boussard; Dirk Timmerman; David J. Mclernon; et al. (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)

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor. - Keren Ladin; John Cuddeback; O. Kenrik Duru; Sharad Goel; William Harvey 003; Jinny G. Park; Jessica K. Paulus; Joyce Sackey; Richard Sharp; Ewout W. Steyerberg; Berk Ustun; David van Klaveren; et al. (npj Digit. Medicine, 2024)