A. Witteveen PhD (Annemieke)

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.

Medicine & Life Sciences

# Breast Neoplasms
# Netherlands
# Nomograms
# Recurrence
# Registries

Mathematics

# Breast Cancer
# Optimal Value Function
# Partially Observable Markov Decision Process

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Biomedical Signals and Systems (BSS)

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

Beenhakker, L. , Wijlens, K. A. E. , Witteveen, A., Siemerink, E. J. M. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2021). eHealth interventies tegen kanker-gerelateerde vermoeidheid en aspecten voor het personaliseren van de behandeling. 11. Abstract from ZGT Wetenschapsdag, Almelo, Netherlands.

Beenhakker, L. , Wijlens, K. A. E. , Witteveen, A., Siemerink, E. J. M. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2021). Risico op kanker-gerelateerde vermoeidheid na borstkanker. 16. Abstract from ZGT Wetenschapsdag, Almelo, Netherlands.

Wijlens, K. A. E. , Beenhakker, L. , Witteveen, A., Siemerink, E. J. M. , Siesling, S. , Bode, C. , & Vollenbroek-Hutten, M. M. R. (2021). Toolkit met holistische patiëntenprofielen van borstkankerpatiënten met kanker-gerelateerde vermoeidheid. 15. Abstract from ZGT Wetenschapsdag, Almelo, Netherlands.

Draeger, T. , Voelkel, V. , Groothuis-Oudshoorn, C. G. M. , Lavric, M. , Veltman, J., Dassen, A., Boersma, L. J. , Witteveen, A., Sonke, G. S. , Koffijberg, H. , & Siesling, S. (2020). Applying Risk-Based Follow-Up Strategies on the Dutch Breast Cancer Population: Consequences for Care and Costs. Value in health, 23(9), 1149-1156. https://doi.org/10.1016/j.jval.2020.05.012

Jeeninga-Witteveen, A., de Munck, L. , Oudshoorn, C. G. M., Sonke, G. S., Poortmans, P. M., Boersma, L. J., Smidt, M. L. , Vliegen, I. M. H. , IJzerman, M. J. , & Siesling, S. (2020). Evaluating the Age‐Based Recommendations for Long‐Term Follow‐Up in Breast Cancer. Oncologist, 25(9), e1330-e1338. https://doi.org/10.1634/theoncologist.2019-0973

Otten, M. , Timmer, J. , & Witteveen, A. (2020). Stratified breast cancer follow-up using a continuous state partially observable Markov decision process. European journal of operational research, 281(2), 464-474. https://doi.org/10.1016/j.ejor.2019.08.046

van Steenbeek, C. D. , van Maaren, M. C. , Siesling, S. , Witteveen, A., Verbeek, X. A. A. M. , & Koffijberg, H. (2019). Facilitating validation of prediction models: A comparison of manual and semi-automated validation using registry-based data of breast cancer patients in the Netherlands. BMC medical research methodology, 19(1), [117]. https://doi.org/10.1186/s12874-019-0761-5

Witteveen, A. (2018). INFLUENCE: individualized follow-up for breast cancer. University of Twente. https://doi.org/10.3990/1.9789036546409

Witteveen, A. , Otten, J. W. M. , Vliegen, I. M. H. , Siesling, S. , Timmer, J. B. , & IJzerman, M. J. (2018). Risk-based breast cancer follow-up stratified by age. Cancer medicine, 7(10), 5291-5298. [CAM41760]. https://doi.org/10.1002/cam4.1760

Witteveen, A., Nane, G. F., Vliegen, I. M. H. , Siesling, S. , & IJzerman, M. J. (2018). Comparison of Logistic Regression and Bayesian Networks for Risk Prediction of Breast Cancer Recurrence. Medical decision making, 38(7), 822-833. https://doi.org/10.1177/0272989X18790963

de Ligt, K. M. , Witteveen, A. , Siesling, S. , & Steuten, L. M. G. (2018). Shifting breast cancer surveillance from current hospital setting to a community based setting: A cost-effectiveness study. BMC cancer, 18(1), [96]. https://doi.org/10.1186/s12885-018-3992-7

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

Bekijk alle publicaties van deze medewerker

INTERVIEWS (selection)

Bij Oost Vandaag, 04-02-2022 https://www.rtvoost.nl/tv/aflevering/bij-oost-vandaag/2052821_20220204170000
Afslag Oost, 04-02-2022 https://www.rtvoost.nl/radio/programma/42/Afslag-Oost/aflevering/610621 (from 46.00 min.)
1Twente Vandaag, 13-10-2021 https://www.youtube.com/watch?v=J6XcdyKW9ac
NPO1 Focus, 21-10-2021 https://www.nporadio1.nl/fragmenten/focus/f6a80b7b-d1c8-4847-a2cd-3a3b802b492b/2021-10-21-als-je-genezen-bent-van-kanker-is-de-ziekte-nog-niet-weg-uit-je-leven

Tweets by Witteveen_A

+31534894708

+31534893365 (bij geen gehoor)

a.witteveen@utwente.nl

www.utwente.nl/influence

Bezoekadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst - Zuidhorst (gebouwnr. 28)
De Horst 2
7522LW Enschede

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst Complex (gebouwnr. 20), kamer ZH210
De Horst 2
7522LW Enschede

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Postadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst Complex ZH210
Postbus 217
7500 AE Enschede

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Biomedical Signals and Systems (BSS)

Universiteit Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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