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Author Details

Paul W G Elbers
Center for Critical Care Computational Intelligence, Vrije Universiteit
2006
129
24
PMIDPaper TitleJournal TitlePublished Year
37938042Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment.Crit Care Med2024
36150166Do Thresholds for Invasive Ventilation in Hypoxemic Respiratory Failure Exist? A Cohort Study.Am J Respir Crit Care Med2023
37748329Augmented intelligence facilitates concept mapping across different electronic health records.Int J Med Inform2023
37703800Determining and assessing characteristics of data element names impacting the performance of annotation using Usagi.Int J Med Inform2023
37742782Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal.J Biomed Inform2023
37079085Towards adequate and automated antibiotic dosing.Intensive Care Med2023
37368351Toward a unified understanding of blood buffer power.J Appl Physiol (1985)2023
37267810Assessing the FAIRness of databases on the EHDEN portal: A case study on two Dutch ICU databases.Int J Med Inform2023
37355751A guide to sharing open healthcare data under the General Data Protection Regulation.Sci Data2023
36744415Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis.J Intensive Care Med2023
36774818Diagnosing acute kidney injury ahead of time in critically ill septic patients using kinetic estimated glomerular filtration rate.J Crit Care2023
36524820Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model.Crit Care Med2023
34622441Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in-hospital mortality.Acta Anaesthesiol Scand2022
35410278A novel Vascular Leak Index identifies sepsis patients with a higher risk for in-hospital death and fluid accumulation.Crit Care2022
35612039Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database.Stud Health Technol Inform2022
35783684Ethnic Differences in Coronavirus Disease 2019 Hospitalization and Hospital Outcomes in a Multiethnic Population in the Netherlands.Open Forum Infect Dis2022
35656797Ischaemic electrocardiogram patterns and its association with survival in out-of-hospital cardiac arrest patients without ST-segment elevation myocardial infarction: a COACT trials' post-hoc subgroup analysis.Eur Heart J Acute Cardiovasc Care2022
36824503Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation.GigaByte2022
35908420Intravenous fluid therapy in perioperative and critical care setting-Knowledge test and practice: An international cross-sectional survey.J Crit Care2022
36143427Fluid Management, Intra-Abdominal Hypertension and the Abdominal Compartment Syndrome: A Narrative Review.Life (Basel)2022
36064438Right dose, right now: bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock-a two-centre randomised clinical trial.Crit Care2022
36162166Assess 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 Med Inform2022
36155964INCIDENCE, RISK FACTORS, AND OUTCOME OF SUSPECTED CENTRAL VENOUS CATHETER-RELATED INFECTIONS IN CRITICALLY ILL COVID-19 PATIENTS: A MULTICENTER RETROSPECTIVE COHORT STUDY.Shock2022
35227446The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.Value Health2022
34983764Using machine learning to predict blood culture outcomes in the emergency department: a single-centre, retrospective, observational study.BMJ Open2022
34919155Pick your prior: scepticism about sceptical prior beliefs.Intensive Care Med2022
35147784The influence of timing of coronary angiography on acute kidney injury in out-of-hospital cardiac arrest patients: a retrospective cohort study.Ann Intensive Care2022
35114522Can 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 Med Inform2022
35234175Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.Crit Care Med2022
35195012Cost Analysis From a Randomized Comparison of Immediate Versus Delayed Angiography After Cardiac Arrest.J Am Heart Assoc2022
34637414Targeted Temperature Management in Out-of-Hospital Cardiac Arrest With Shockable Rhythm: A Post Hoc Analysis of the Coronary Angiography After Cardiac Arrest Trial.Crit Care Med2022
32715505Why we should sample sparsely and aim for a higher target: Lessons from model-based therapeutic drug monitoring of vancomycin in intensive care patients.Br J Clin Pharmacol2021
33715577Acute pancreatitis in COVID-19 patients: true risk?Scand J Gastroenterol2021
33651497[Clinical course of COVID-19 in the Netherlands: an overview of 2607 patients in hospital during the first wave].Ned Tijdschr Geneeskd2021
33625129Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example.Crit Care Med2021
33619201Cardiovascular risk factors and COVID-19 outcomes in hospitalised patients: a prospective cohort study.BMJ Open2021
33581824Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis.Artif Intell Med2021
33932485The effect of immediate coronary angiography after cardiac arrest without ST-segment elevation on left ventricular function. A sub-study of the COACT randomised trial.Resuscitation2021
34589713Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists.Crit Care Explor2021
34671747Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome.Crit Care Explor2021
34407846Early high-dose vitamin C in post-cardiac arrest syndrome (VITaCCA): study protocol for a randomized, double-blind, multi-center, placebo-controlled trial.Trials2021
34642176Varying association of laboratory values with reference ranges and outcomes in critically ill patients: an analysis of data from five databases in four countries across Asia, Europe and North America.BMJ Health Care Inform2021
34432094Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit.Intensive Care Med2021
34463696Effect of Low-Normal vs High-Normal Oxygenation Targets on Organ Dysfunction in Critically Ill Patients: A Randomized Clinical Trial.JAMA2021
34633485The future of antimicrobial dosing in the ICU: an opportunity for data science.Intensive Care Med2021
34425864The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients.Crit Care2021
34535169Lung ultrasound in a tertiary intensive care unit population: a diagnostic accuracy study.Crit Care2021
34063815Population Pharmacokinetics and Probability of Target Attainment of Different Dosing Regimens of Ceftazidime in Critically Ill Patients with a Proven or Suspected <i>Pseudomonas aeruginosa</i> Infection.Antibiotics (Basel)2021
34148010Definition and incidence of hypotension in intensive care unit patients, an international survey of the European Society of Intensive Care Medicine.J Crit Care2021
34368931Rapid screening of critically ill patients for low plasma vitamin C concentrations using a point-of-care oxidation-reduction potential measurement.Intensive Care Med Exp2021
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Collaborators

Center for Critical Care Computational Intelligence, Vrije Universiteit
Co-authored papers 34
Vrije Universiteit
Co-authored papers 21
Center for Critical Care Computational Intelligence, Vrije Universiteit
Co-authored papers 17
Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
Co-authored papers 11
University of Amsterdam
Co-authored papers 10
Co-authored papers 7
Harvard T.H. Chan School of Public Health, MIT
Co-authored papers 5
Amsterdam Institute for Infection and Immunity (AI&II), Vrije Universiteit
Co-authored papers 4
University of Cambridge
Co-authored papers 4
University of Pittsburgh
Co-authored papers 2
Big Data Department - Regional Ministry of Health of Southern Spain
Co-authored papers 2
University of Amsterdam
Co-authored papers 2
University of Turin
Co-authored papers 2
Joan XXIII University Hospital in Tarragona
Co-authored papers 1
Maastricht University
Co-authored papers 1
Co-authored papers 1
Amsterdam University Medical Center
Co-authored papers 1
Erasmus Medical Center
Co-authored papers 1
Erasmus MC-University Medical Center
Co-authored papers 1
Co-authored papers 1
University of Wisconsin-Madison
Co-authored papers 1
University of Toronto
Co-authored papers 1
The Hospital for Sick Children
Co-authored papers 1
New York University Langone Health
Co-authored papers 1
Hospital Clinic
Co-authored papers 1
Medical Centre Leeuwarden
Co-authored papers 1
Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University
Co-authored papers 1
Vrije Universiteit
Co-authored papers 1
Amsterdam University Medical Center
Co-authored papers 1
Royal Melbourne Hospital
Co-authored papers 1