Annemieke Witteveen
Scholar

Annemieke Witteveen

Google Scholar ID: TA5IFMIAAAAJ
Personalized eHealth Technology, University of Twente
patient level modellingcancerprediction modelsoptimizationmonitoring
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Citations & Impact
All-time
Citations
472
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
0
 
Contact
Emailinfo@utwente.nl
Publications
1 items
A comparison of variable selection methods and predictive models for postoperative bowel surgery complications
2025
Cited
0
Resume
Academic Achievements
  • Developed the INFLUENCE nomogram; used a time-dependent logistic regression model to predict locoregional recurrence of breast cancer; formulated a Partially Observable Markov Decision Process (POMDP) approach to determine personalized follow-up schedules.
Research Experience
  • Participated in the INFLUENCE project, which developed several prediction models for breast cancer recurrence risk and personalized follow-up schedules.