Jip W T M de Kok

ORCID: 0000-0002-5495-0285
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About
Contact & Profiles
Research Areas
  • Electronic Health Records Systems
  • COVID-19 Clinical Research Studies
  • Machine Learning in Healthcare
  • Sepsis Diagnosis and Treatment
  • Ethics in Clinical Research
  • Cardiac Imaging and Diagnostics
  • Palliative Care and End-of-Life Issues
  • Statistical Methods in Epidemiology
  • Pericarditis and Cardiac Tamponade
  • Meta-analysis and systematic reviews
  • Artificial Intelligence in Healthcare
  • Cardiac Arrest and Resuscitation
  • Acne and Rosacea Treatments and Effects
  • Chronic Disease Management Strategies
  • Respiratory Support and Mechanisms
  • Clinical practice guidelines implementation

Maastricht University Medical Centre
2023-2025

Maastricht University
2023-2024

Sharing healthcare data is increasingly essential for developing data-driven improvements in patient care at the Intensive Care Unit (ICU). However, it also very challenging under strict privacy legislation of European Union (EU). Therefore, we explored four successful open ICU databases to determine how can be shared appropriately EU. A questionnaire was constructed based on Delphi method. Then, follow-up questions were discussed with experts from databases. These encountered similar...

10.1038/s41597-023-02256-2 article EN cc-by Scientific Data 2023-06-24

Abstract We validated a Deep Embedded Clustering (DEC) model and its adaptation for integrating mixed datatypes (in this study, numerical categorical variables). is promising technique capable of managing extensive sets variables non-linear relationships. Nevertheless, DEC cannot adequately handle datatypes. Therefore, we adapted by replacing the autoencoder with an X-shaped variational (XVAE) optimising hyperparameters cluster stability. call “X-DEC”. compared X-DEC reproducing previous...

10.1038/s41598-024-51699-z article EN cc-by Scientific Reports 2024-01-10

Abstract Background Coronary artery calcification (CAC) is associated with poor outcome in critically ill patients. A deterioration cardiac conduction and loss of myocardial tissue could be an underlying cause. Vectorcardiography (VCG) biomarkers provide insight into these causes. The aim this study was to investigate whether a high degree CAC VCG-derived variables biomarkers, including high-sensitivity troponin-T (hs-cTnT) N-terminal pro-B-type natriuretic peptide (NT-proBNP). Methods...

10.1186/s40635-024-00611-0 article EN cc-by Intensive Care Medicine Experimental 2024-03-07

Abstract Background Manually derived electrocardiographic (ECG) parameters were not associated with mortality in mechanically ventilated COVID‐19 patients earlier studies, while increased high‐sensitivity cardiac troponin‐T (hs‐cTnT) and N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP) were. To provide evidence for vectorcardiography (VCG) measures as potential monitoring tool, we investigated VCG trajectories during critical illness. Methods All included the Maastricht Intensive Care...

10.1111/anec.70001 article EN cc-by-nc-nd Annals of Noninvasive Electrocardiology 2024-09-01
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