Dave Dongelmans
Orcid: 0000-0001-8477-6671
According to our database1,
Dave Dongelmans
authored at least 19 papers
between 2010 and 2024.
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Bibliography
2024
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges.
BMC Medical Informatics Decis. Mak., December, 2024
Comparative performance of intensive care mortality prediction models based on manually curated versus automatically extracted electronic health record data.
Int. J. Medical Informatics, 2024
Comparing causal random forest and linear regression to estimate the independent association of organisational factors with ICU efficiency.
Int. J. Medical Informatics, 2024
Feasibility of Calculating Indicators for Intensive Care Unit Antibiotic Use Based on Routine Electronic Health Record Data.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
2023
Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal.
J. Biomed. Informatics, October, 2023
Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU.
Comput. Biol. Medicine, September, 2023
Assessing the FAIRness of databases on the EHDEN portal: A case study on two Dutch ICU databases.
Int. J. Medical Informatics, August, 2023
Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review.
J. Am. Medical Informatics Assoc., April, 2023
Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury.
CoRR, 2023
2022
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.
Int. J. Medical Informatics, 2022
Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands.
Int. J. Medical Informatics, 2022
Inaccurate recording of routinely collected data items influences identification of COVID-19 patients.
Int. J. Medical Informatics, 2022
2021
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients.
CoRR, 2021
2019
The effect of ICU-tailored drug-drug interaction alerts on medication prescribing and monitoring: protocol for a cluster randomized stepped-wedge trial.
BMC Medical Informatics Decis. Mak., 2019
2015
How to Assist Intensive Care Units in Improving Healthcare Quality. Development of Actionable Quality Indicators on Blood use.
Proceedings of the Digital Healthcare Empowering Europeans, 2015
2012
Effects of two different levels of computerized decision support on blood glucose regulation in critically ill patients.
Int. J. Medical Informatics, 2012
A usability evaluation of a SNOMED CT based compositional interface terminology for intensive care.
Int. J. Medical Informatics, 2012
2011
Lessons Learned from Implementing and Evaluating Computerized Decision Support Systems.
Proceedings of the Artificial Intelligence in Medicine, 2011
2010
J. Biomed. Informatics, 2010