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Philipp Röchner
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Unsupervised anomaly detection of implausible electronic health records: a real-world evaluation in cancer registries
P Röchner, F Rothlauf
BMC Medical Research Methodology 23 (1), 125, 2023
52023
MTGP: Combining metamorphic testing and genetic programming
D Sobania, M Briesch, P Röchner, F Rothlauf
European Conference on Genetic Programming (Part of EvoStar), 324-338, 2023
42023
Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures
P Röchner, HO Marques, RJGB Campello, A Zimek
Data Mining and Knowledge Discovery, 1-39, 2024
12024
Using machine learning to link electronic health records in cancer registries: On the tradeoff between linkage quality and manual effort
P Röchner, F Rothlauf
International Journal of Medical Informatics 185, 105387, 2024
12024
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version)
P Röchner, HO Marques, RJGB Campello, A Zimek, F Rothlauf
arXiv preprint arXiv:2408.15874, 2024
2024
On the Fidelity-Privacy Tradeoff of Synthetic Cancer Registry Data
P Röchner
Studies in health technology and informatics 316, 621-625, 2024
2024
Synthesizing tabular health data in cancer registries using generative machine learning approaches
P RÖCHNER, L SCHWARZ
2. Heidelberger Frühjahrssymposium Medizinische Informatik, 36, 0
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Articles 1–7