Ewout W. Steyerberg

According to our database, Ewout W. Steyerberg authored at least 27 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

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, David K. Menon, Ewout W. Steyerberg, David W. Nelson, Ari Ercole

npj Digit. Medicine, 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, David K. Menon, Ewout W. Steyerberg, David W. Nelson, Ari Ercole

CoRR, 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

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

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

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

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, Niels H. Chavannes, Karel G. M. Moons

npj Digit. Medicine, 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

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

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, Ewout W. Steyerberg, David W. Nelson, Ari Ercole

CoRR, 2022

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

Proceedings of the AMIA 2022, 2022

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

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, Bas De Groot

Int. J. Medical Informatics, 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

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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

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

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

2019

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

2018

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

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

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

2015

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

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

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