Saskia Haitjema

According to our database, Saskia Haitjema authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Haematology dimension reduction, a large scale application to regular care haematology data.

Huibert-Jan Joosse, Chontira Chumsaeng-Reijers, Albert Huisman, Imo E. Hoefer, Wouter W. van Solinge, Saskia Haitjema, Bram van Es

BMC Medical Informatics Decis. Mak., December, 2025

Putting the SWORD to the Test: Finding Workarounds with Process Mining.

Wouter van der Waal, Inge van de Weerd, Iris Beerepoot, Xixi Lu, Teus H. Kappen, Saskia Haitjema, Hajo A. Reijers

Bus. Inf. Syst. Eng., April, 2025

Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics.

Daniele Malpetti, Marco Scutari, Francesco Gualdi, Jessica van Setten, Sander W. Van der Laan, Saskia Haitjema, Aaron Mark Lee, Isabelle Hering, Francesca Mangili

CoRR, March, 2025

2024

Requirements for Human-Centered Artificial Intelligence: A Heart Failure Study Across Europe and Latin America.

Xènia Puig-Bosch, Machteld J. Boonstra, Miriam Cabrita, Joan Perramon, Sara Munive, Andrea Guala, Vladimír Kincl, Saskia Haitjema, Carina Dantas, Folkert W. Asselbergs, Karim Lekadir

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

Whetting the SWORD: Detecting Workarounds by Using Active Learning and Logistic Regression.

Wouter van der Waal, Inge van de Weerd, Saskia Haitjema, Teus H. Kappen, Hajo Alexander Reijers

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods.

Bram van Es, Leon C. Reteig, Sander C. Tan, Marijn Schraagen, Myrthe M. Hemker, Sebastiaan R. S. Arends, Miguel A. R. Rios, Saskia Haitjema

BMC Bioinform., 2023

2022

A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care.

Richard Bartels, Jeroen Dudink, Saskia Haitjema, Daniel L. Oberski, Annemarie van 't Veen

Frontiers Digit. Health, 2022

2018

Predicting Flare Probability in Rheumatoid Arthritis using Machine Learning Methods.

Asmir Vodencarevic, Marlies C. van der Goes, O'Jay A. G. Medina, Mark C. H. de Groot, Saskia Haitjema, Wouter W. van Solinge, Imo E. Hoefer, Linda M. Peelen, Jacob M. van Laar, Marcus Zimmermann-Rittereiser, Bob C. Hamans, Paco M. J. Welsing

Proceedings of the 7th International Conference on Data Science, 2018