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A. Witteveen PhD (Annemieke)

Assistant Professor

About Me

Annemieke Witteveen is Assistant Professor at the Biomedical Signals and Systems group and the Personalized eHealth Technology (PeHT) research program. Her research line focusses on building dynamic patient-level models for prediction, monitoring and optimization to support clinical decision making in oncology. See also her interview as a featured scientist.

She studied Technical Medicine and Health Sciences at the University of Twente. After graduation, Annemieke started working as a PhD at the department of Health Technology and Services Research (HTSR) at the University of Twente. Here she worked on individualizing the breast cancer follow-up based on individual time-dependent risk profiles, resulting in a.o. the INFLUENCE nomogram. Her thesis received the prize for best oncology thesis in the Netherlands of 2018/2019. She currently works on self-management and decision support for oncology, such as the KWF PARTNR project. In 2020 she was awarded a NWO/ZonMW veni grant for researching dynamic models to predict, monitor and make recommendations for the late effects after breast cancer. Annemieke is married and has three kids.


WORK EXPERIENCE

2021-present Assistant Professor, Biomedical Signals and Systems, Personalized eHealth Technology (PeHT) research program (University of Twente)

2019-present Coordinator Health and Wellbeing track, Digital Society reseach program (University of Twente/VSNU)

2019-2021    Postdoctoral researcher, Biomedical Signals and Systems group, Personalized eHealth Technology (PeHT) research program (University of Twente)

2013-2018    PhD student, Health Technology and Services Research (University of Twente)

2015             Researcher, Center for the Science of Health Care Delivery (Mayo Clinic, Rochester, MN)

 

AWARDS AND PRIZES

2020 NWO/ZonMW Veni grant

2019 NWO/KWF Technology for Oncology grant for PARTNR project

2019 NVMO best oncology thesis prize in the Netherlands of 2018/2019

2019 ZGT grant to work on personalized risk communication profiles

2016 Tech4People travel grant to visit Sorbonne University (Paris)

2015 UT best poster award on PhD day

2015 Rene Vogels stichting travel grant to visit the Mayo Clinic (Rochester, MN)

 

NETWORKS

Member of professional societies:
· Vereniging voor Epidemiologie (VvE)
· International Society for Pharmacoeconomics and Outcomes Research (ISPOR)·
· Society for Medical Decision Making (SMDM)

TEACHING
Annemieke was involved in the bachelor courses Klinische Epidemiologie
(Gezondheidswetenschappen) and Epidemiologie, Statistiek en MTA (Technische
Geneeskunde), and the master course Clinical Efficacy and MTA (Health Sciences). Also,
Annemieke supervised several master students with their thesis. In 2016 and 2017 she was organizer and course leader of the University of Twente CuriousU summer school track The Future of Health Technology. In 2019 she started another course on Personalized eHealth Technology.


 

Expertise

Medicine & Life Sciences
Breast Neoplasms
Netherlands
Nomograms
Recurrence
Registries
Mathematics
Breast Cancer
Optimal Value Function
Partially Observable Markov Decision Process

Publications

Recent
Zegers, C. M. L. , Witteveen, A., Schulte, M. H. J., Henrich, J. F., Vermeij, A., Klever, B., & Dekker, A. (2021). Mind your data: Privacy and legal matters in eHealth. JMIR Formative Research, 5(3), [e17456]. https://doi.org/10.2196/17456
Otten, M. , Timmer, J. , & Witteveen, A. (2018). Stratified breast cancer follow-up using a continuous state partially observable Markov decision process. (TW-Memoranda; No. 2064). University of Twente, Department of Applied Mathematics.
van Maaren, M. C., van Steenbeek, C. D., Pharoah, P. D. P. , Witteveen, A., Sonke, G. S., Strobbe, L. J. A., Poortmans, P. M. P. , & Siesling, S. (2017). Validation of the online prediction tool PREDICT v. 2.0 in the Dutch breast cancer population. European journal of cancer, 86, 364-372. https://doi.org/10.1016/j.ejca.2017.09.031
Geurts, Y. M. , Witteveen, A., Bretveld, R., Poortmans, P. M. P., Sonke, G. S., Strobbe, L. J. A. , & Siesling, S. (2017). Patterns and predictors of first and subsequent recurrence in women with early breast cancer. Breast cancer research and treatment, 165(3), 709-720. https://doi.org/10.1007/s10549-017-4340-3
Otten, J. W. M. , Witteveen, A. , Vliegen, I. M. H. , Siesling, S. , Timmer, J. B. , & IJzerman, M. J. (2017). Stratified breast cancer follow-up using a partially observable Markov decision process. In R. J. Boucherie, & N. M. van Dijk (Eds.), Markov Decision Processes in Practice (pp. 223-244). (International Series in Operations Research & Management Science; Vol. 248). Springer. https://doi.org/10.1007/978-3-319-47766-4_7

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst - Zuidhorst (building no. 28)
De Horst 2
7522LW  Enschede
The Netherlands

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University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst Complex (building no. 20), room ZH210
De Horst 2
7522LW  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst Complex  ZH210
P.O. Box 217
7500 AE Enschede
The Netherlands