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# Health
# Machine Learning
# Quality Assurance
# Radiology
# Sleep
Mathematics
# Breast Cancer
# Quality Assurance
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Recent
Nauta, M., Trienes, J.
, Pathak, S., Nguyen, E., Peters, M., Schmitt, Y., Schlötterer, J.
, van Keulen, M.
, & Seifert, C. (2022).
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. arXiv.org.
https://doi.org/10.48550/arXiv.2201.08164
Lu, C.
, Pathak, S.
, Englebienne, G.
, & Seifert, C. (2022).
Channel Contribution In Deep Learning Based Automatic Sleep Scoring – How Many Channels Do We Need?
IEEE transactions on neural systems and rehabilitation engineering, 1-12.
https://doi.org/10.1109/TNSRE.2022.3227040
Yenidogan, B.
, Pathak, S., Geerdink, J., Hegeman, J. H.
, & Van Keulen, M. (2022).
Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients. In B. Xue, M. Pechenizkiy, & Y. S. Koh (Eds.),
Proceedings - 21st IEEE International Conference on Data Mining Workshops, ICDMW 2021 (pp. 508-516). (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2021-December). IEEE Computer Society.
https://doi.org/10.1109/ICDMW53433.2021.00068
Pathak, S.
, Lu, C., Belur Nagaraj, S.
, van Putten, M. J. A. M.
, & Seifert, C. (2021).
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring.
Artificial intelligence in medicine,
114, [102038].
https://doi.org/10.1016/j.artmed.2021.102038
Nguyen, E., Theodorakopoulos, D.
, Pathak, S., Geerdink, J., Vijlbrief, O.
, van Keulen, M.
, & Seifert, C. (2021).
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. In
2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI) (pp. 72-81). [9319371] IEEE.
https://doi.org/10.1109/CogMI50398.2020.00019
Ruis, F.
, Pathak, S., Geerdink, J., Hegeman, J. H.
, Seifert, C.
, & van Keulen, M. (2020).
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records. In
2020 International Conference on Data Mining Workshops (ICDMW) (pp. 644-650). [9346382] (International Conference on Data Mining Workshops (ICDMW); Vol. 2020). IEEE.
https://doi.org/10.1109/ICDMW51313.2020.00091
Marazza, F.
, Bukhsh, F. A., Geerdink, J., Vijlbrief, O.
, Pathak, S.
, van Keulen, M.
, & Seifert, C. (2020).
Automatic Process Comparison for Subpopulations: Application in Cancer Care.
International journal of environmental research and public health,
17(16), 1-23. [5707].
https://doi.org/10.3390/ijerph17165707
Pathak, S., van Rossen, J., Vijlbrief, O., Geerdink, J.
, Seifert, C.
, & van Keulen, M. (2020).
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
17(6), 1883-1894. [8705380].
https://doi.org/10.1109/TCBB.2019.2914678
Marazza, F.
, Bukhsh, F. A., Vijlbrief, O., Geerdink, J.
, Pathak, S.
, van Keulen, M.
, & Seifert, C. (2019).
Comparing Process Models for Patient Populations: Application in Breast Cancer Care. In C. Di Francescomarino, R. Dijkman, & U. Zdun (Eds.),
Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers (pp. 496-507). (Lecture Notes in Business Information Processing; Vol. 362). Springer.
https://doi.org/10.1007/978-3-030-37453-2_40
Marazza, F.
, Bukhsh, F. A., Vijlbrief, O., Geerdink, J.
, Pathak, S.
, van Keulen, M.
, & Seifert, C. (2019).
Comparing Process Models for Patient Populations: Application in Breast Cancer Care. Paper presented at International Workshop Process-Oriented Data Science for Healthcare 2019, Vienna, Austria.
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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 4057
Hallenweg 19
7522NH Enschede
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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4057
Postbus 217
7500 AE Enschede