Saskia Haitjema

According to our database, Saskia Haitjema authored at least 13 papers between 2018 and 2026.

Collaborative distances:

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

2026

Automatic Cardiac Risk Management Classification using large-context Electronic Patients Health Records.

Jacopo Vitale, David Della Morte, Luca Bacco, Mario Merone, Mark C. H. de Groot, Saskia Haitjema, Leandro Pecchia, Bram van Es

CoRR, March, 2026

Design and Performance Evaluation of a Modular Mobile Robot for Autonomous Hospital Logistics.

Neri Niccolò Dei, Simona Gandah, Giorgia Spreafico, Andrea Firrincieli, Raquel Juliá Ros, Víctor Solaz Estevan, Ángel Soriano, Francesco Scotto di Luzio, Nevio Luigi Tagliamonte, Lampis Papakostas, Michalis Karamousadakis, Alejandro Martín Medrano Gil, Javier del Río-Martín, Vasileios Lolis, Konstantinos Votis, Ma Pilar Sala Soriano, Jordi Rovira Simón, Przemyslaw Kardas, Pawel Lewek, Dariusz Timler, Laura Llorente Sanz, Jorge Nieto De Vicente-Arche, Saskia Haitjema, Imo Hoefer, Sergio Guillen, German Gutierrez, Leandro Pecchia, Loredana Zollo, Giuseppe Fico, Marcello Chiurazzi, Gastone Ciuti

IEEE Trans Autom. Sci. Eng., 2026

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

Technical and legal aspects of federated learning in bioinformatics: applications, challenges and opportunities.

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

Frontiers Digit. Health, 2025

Beyond the numbers: the importance of contextual data when reusing blood pressure data from electronic health records.

Marieke E. Grünewald, Erik Koomen, Lex M. van Loon, Ankit Gupta, Robin W. M. Vernooij, Wouter W. van Solinge, Teus H. Kappen, Saskia Haitjema

Frontiers Digit. Health, 2025

Policy Perspectives on Challenges, Barriers and Potential Enablers of Large-Scale AI-Driven Solutions in Cardiology.

Carina Dantas, Miriam Cabrita, Daniel Dias, Saskia Haitjema, Folkert W. Asselbergs

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 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 Ángel Ríos-Gaona, 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