ir. D.J. Jansen (Duncan)


Medicine & Life Sciences
Chronic Pain
General Practitioners
Musculoskeletal Pain
Referral And Consultation
Engineering & Materials Science
Artificial Intelligence
Decision Support Systems
Machine Learning


Budde, C. E. , Jansen, D., Locht, I. , & Stoelinga, M. (2022). Learning to Learn HVAC Failures: Layering ML Experiments in the Absence of Ground Truth. In S. Collart-Dutilleul, A. E. Haxthausen, & T. Lecomte (Eds.), Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification: 4th International Conference, RSSRail 2022, Paris, France, June 1–2, 2022, Proceedings (pp. 95-111). (Lecture notes in computer science; Vol. 13294). Springer. https://doi.org/10.1007/978-3-031-05814-1_7
Slatman, E. S., Mossink, A. , Jansen, D. J., Broeks, J., van der Lugt, P. , Prosman, G-J. , & d'Hollosy, W. (2022). Factors used by general practitioners for referring patients with chronic musculoskeletal pain: a qualitative study. BMC family practice, 23, [126]. https://doi.org/10.1186/s12875-022-01743-6
d'Hollosy, W., Bekmann, A. , Jansen, D. J. , & Prosman, G-J. (2021). The usage of patient-reported data in machine learning to predict pain rehabilitation: possible or not?. Abstract from BritSpine2021.
d'Hollosy, W. , Jansen, D. J. , & Poel, M. (2021). Appropriate healthcare referrals of patients with chronic musculoskeletal pain? We can do better: a multimodal artificial intelligence approach. Abstract from 8th Dutch Bio-Medical Engineering Conference, BME 2021, Virtual Conference.



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