Ewout W. Steyerberg

Orcid: 0000-0002-7787-0122

According to our database1, Ewout W. Steyerberg authored at least 26 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases.
npj Digit. Medicine, 2023

Perspectives on validation of clinical predictive algorithms.
npj Digit. Medicine, 2023

Mining the contribution of intensive care clinical course to outcome after traumatic brain injury.
npj Digit. Medicine, 2023

Contribution of clinical course to outcome after traumatic brain injury: mining patient trajectories from European intensive care unit data.
CoRR, 2023

Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data.
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.
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.
npj Digit. Medicine, 2022

Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI-PREM).
BMC Medical Informatics Decis. Mak., 2022

Commentary: Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?
Frontiers Digit. Health, 2022

The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence.
CoRR, 2022

Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model.
Proceedings of the AMIA 2022, 2022

2021
The digital scribe in clinical practice: a scoping review and research agenda.
npj Digit. Medicine, 2021

Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope?
Int. J. Medical Informatics, 2021

Prediction of hospital admission from the emergency department: Clinician involvement, intended use, and interpretability.
Int. J. Medical Informatics, 2021

Developing clinical prediction models using primary care electronic health record data - the impact of methodological choices on model performance.
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.
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.
Stat. Comput., 2020

Iranian general populations' and health care providers' preferences for benefits and harms of statin therapy for primary prevention of cardiovascular disease.
BMC Medical Informatics Decis. Mak., 2020

How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach.
BMC Medical Informatics Decis. Mak., 2020

2019
Predictive analytics in health care: how can we know it works?
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.
BMC Medical Informatics Decis. Mak., 2018

2017
Decision support systems for incurable non-small cell lung cancer: a systematic review.
BMC Medical Informatics Decis. Mak., 2017

Personal health records in the Netherlands: potential user preferences quantified by a discrete choice experiment.
J. Am. Medical Informatics Assoc., 2017

2015
Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators.
J. Biomed. Informatics, 2015

2008
A decision-analytic approach to define poor prognosis patients: a case study for non-seminomatous germ cell cancer patients.
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.
J. Am. Medical Informatics Assoc., 2008


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