Fatime is a PhD candidate at the Biomedical Signals and Systems (BSS) group. Her research interests include applying AI techniques such as machine learning and deep learning to analyze medical data for improved healthcare decision support.
Expertise
Engineering
- Dynamic Models
- Radiotherapy
Medicine and Dentistry
- Deterioration
- Short Term Memory
- Surgical Oncology
- Population and Population Related Phenomena
Psychology
- Body Mass Index
- Scoping Review
Organisations
Publications
2025
Reporting, representation and subgroup analysis in studies assessing consumer wearable validity: a scoping review (2025)[Contribution to conference › Abstract] 14th Supporting Health by Technology Conference 2025. Schipper, R., Fatime, O. D., Roosink, M., Winkens, L., John, A., Witteveen, A., Hazebroek, E. & Berendsen, A.Unsupervised Change Point Detection for Early Complication Identification in Post-Surgical Oncology Patients (2025)[Contribution to conference › Abstract] 14th Supporting Health by Technology Conference 2025. Fatime, O. D., Waanders, I., Lips, D. J., Witteveen, A., Nane, G. F., van Keulen, M. & John, A.Dynamic Predictive Models for Side Effects Following Cancer or Cancer Treatment: A Systematic Review (2025)[Contribution to conference › Abstract] 10th Dutch Biomedical Engineering Conference, BME 2025. Fatime, O. D., Schipper, R., Berendsen, A., Nane, G. F., van Keulen, M., Witteveen, A. & John, A.
2024
One size does not fit all: a scoping review on study population diversity in studies assessing the validity of consumer wearables for measuring vital signs (2024)[Contribution to conference › Poster] Preventive Health Conference 2024. Schipper, R., Fatime, O. D., Roosink, M., Winkens, L., John, A., Witteveen, A., Hazebroek, E. & Berendsen, A.
Research profiles
Address
University of Twente
Horst Complex (building no. 20), room ZH227
De Horst 2
7522 LW Enschede
Netherlands
University of Twente
Horst Complex ZH227
P.O. Box 217
7500 AE Enschede
Netherlands
Scan the QR code or