Expertise
Medicine & Life Sciences
# Chronic Pain
# General Practitioners
# Musculoskeletal Pain
# Referral And Consultation
Engineering & Materials Science
# Artificial Intelligence
# Decision Support Systems
# Hvac
# Machine Learning
Publications
Recent
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.
Contact Details
Visiting Address
University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands
Mailing Address
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands