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
Computer Science
- Autoencoder
Engineering
- Feature Extraction
- Learning System
- Dynamic Models
Medicine and Dentistry
- Deterioration
- Postoperative Complication
- Short Term Memory
- Surgical Oncology
Organisations
Publications
2025
Unsupervised Detection of Postoperative Complications in Home-Monitored Patients: Preliminary Results (2025)In 2025 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE. Fatime, O. D., Waanders, I., Lips, D. J., Nane, G. F., van Keulen, M., Witteveen, A. & John, A.https://doi.org/10.1109/MeMeA65319.2025.11068044Reporting, 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.
2023
Deep feature extraction, dimensionality reduction, and classification of medical images using combined deep learning architectures, autoencoder, and multiple machine learning models (2023)Turkish journal of electrical engineering and computer sciences, 31(6), 1113-1128. Kiraz, A. H., Fatime, O. D. & Yüksel, M. E.https://doi.org/10.55730/1300-0632.4037
2022
A novel spectral feature selection method based on binary genetic algorithm for efficient detection of endometrial and ovarian cancers: Preliminary results (2022)In 2022 Medical Technologies Congress (TIPTEKNO). IEEE. Fatime, O. D. & Yuksel, M. E.https://doi.org/10.1109/TIPTEKNO56568.2022.9960147
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
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