Artuur Leeuwenberg

Asssistant Professor

University Medical Center Utrecht, Utrecht University

Netherlands

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Articles (10)

Cross-institution natural language processing for reliable clinical association studies: a methodological exploration

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Year:

2024

Modest performance of text mining to extract health outcomes may be almost sufficient for high-quality prognostic model development

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Year:

2024

Dynamics in cardiac surgery: trends in population characteristics and the performance of the EuroSCORE II over time

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Year:

2023

Predicting sepsis-related mortality and ICU admissions from telephone triage information of patients presenting to out-of-hours GP cooperatives with acute infections: A cohort study of linked routine care databases

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Year:

2023

Comparing supervised and semi-supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients

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Year:

2023

Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods

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Year:

2022

Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review

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Year:

2022

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

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Year:

2022

Prediction models for COVID-19 clinical decision making

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Year:

2020

Towards Extracting Absolute Event Timelines From English Clinical Reports

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Year:

2020

Collaborators (3)

Arthur van Zanten

Professor

Wageningen University & Research

NETHERLANDS

Diederick E Grobbee

University Medical Center Groningen

NETHERLANDS

Rolf Groenwold

Professor of Clinical Epidemiology

Leiden University Medical Center

NETHERLANDS

Artuur Leeuwenberg

Research Interests

Explore related searches

Contact this professor

Articles (10)

Cross-institution natural language processing for reliable clinical association studies: a methodological exploration

Modest performance of text mining to extract health outcomes may be almost sufficient for high-quality prognostic model development

Dynamics in cardiac surgery: trends in population characteristics and the performance of the EuroSCORE II over time

Predicting sepsis-related mortality and ICU admissions from telephone triage information of patients presenting to out-of-hours GP cooperatives with acute infections: A cohort study of linked routine care databases

Comparing supervised and semi-supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients

Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods

Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

Prediction models for COVID-19 clinical decision making

Towards Extracting Absolute Event Timelines From English Clinical Reports

Collaborators (3)

Arthur van Zanten

Diederick E Grobbee

Rolf Groenwold

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