Script repositories
Scientific publications
A Strategy for Artificial Intelligence With Clinical Impact—Eyes on the Prize
Joppe Nijman, Ruben S Zoodsma, Erik Koomen
JAMA Pediatrics. 2024 (published online). doi:10.1001/jamapediatrics.2023.6259
Ultra-Wideband Radar for Simultaneous and Unobtrusive Monitoring of Respiratory and Heart Rates in Early Childhood: A Deep Transfer Learning Approach
Emad Arasteh, Esther S. Veldhoen, Xi Long, Maartje van Poppel, Marjolein van der Linden, Thomas Alderliesten, Joppe Nijman, Robbin de Goederen, Jeroen Dudink
Sensors 2023, 23(18), 7665. doi: 10.3390/s23187665.
Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development
Ruben S Zoodsma, Rian Bosch, Thomas Alderliesten, Casper W Bollen, Teus H Kappen, Erik Koomen, Arno Siebes, Joppe Nijman
JMIR Cardio. 2023 May 16;7:e45190. doi: 10.2196/45190.
Tidal Volume in Pediatric Ventilation: Do You Get What You See?
Erik Koomen, Joppe Nijman, Ben Nieuwenstein, Teus Kappen
J Clin Med. 2021 Dec 24;11(1):98. doi: 10.3390/jcm11010098.
Click here for publications of the allied Algorithmic Data Analysis group by prof. Arno Siebes.
Master thesis
Detecting deterioration in patients with congenital heart diseases at the pediatric intensive care unit
Daniel van der Mee Mendes, MSc Applied Data Science
Supervisors: Joppe Nijman (UMC Utrecht), Arno Siebes (UU), Erik Koomen (UMC Utrecht), Ruben Zoodsma (UMC Utrecht)
Improvement and testing of a Clinical Deterioration Model for the Continuous Data-Driven Monitoring in Critical Congenital Heart Disease
Alice Giacinto Villalobos, MSc Applied Data Science
Supervisors: Joppe Nijman (UMC Utrecht), Arno Siebes (UU), Erik Koomen (UMC Utrecht), Ruben Zoodsma (UMC Utrecht)
Machine learning for automated discovery of clinically unstable episodes in paediatric intensive care patients with congenital heart disease: Aberration Detection
Ruben Zoodsma, MSc Medicine / Applied Data Science
Supervisors: Joppe Nijman (UMC Utrecht), Erik Koomen (UMC Utrecht), Arno Siebes (UU)
Tthe prediction of extubation failure after surgery in pediatric patients with congenital heart disease
Berend de Jong, MSc technical medicine
Supervisors: Jesse Krijthe (TU Delft) & Joppe Nijman (UMC Utrecht)
Standardized Data Mining Method in Healthcare: a pediatric intensive care unit case study
Eldin Karasik, MSc Business Informatics
Supervisors: Marco Spruit (UU), M. Brinkhuis (UU), Erik Koomen (UMC Utrecht), Teus Kappen (UMC Utrecht)
Predicting patient status dependent on their treatment using a clustering model with SAX
Nina Schoeber, MSc Informatics
Supervisors: Arno Siebes (UU), Erik Koomen (UMC Utrecht), Teus Kappen (UMC Utrecht)
Machine Learning for Ventilation Decision Support
Michiel Bron, MSc Informatics
Supervisors: Ad Feelders (UU), Arno Siebes (UU), Erik Koomen (UMC Utrecht), Joppe Nijman (UMC Utrecht), Teus Kappen (UMC Utrecht)