Unsupervised anomaly detection of implausible electronic health records : a real-world evaluation in cancer registries

Röchner, PhilippRothlauf, Franz2023-10-242023-10-242023https://openscience.ub.uni-mainz.de/handle/20.500.12030/9657engCC-BY-4.0https://creativecommons.org/licenses/by/4.0/004 Informatik004 Data processing330 Wirtschaft330 EconomicsUnsupervised anomaly detection of implausible electronic health records : a real-world evaluation in cancer registriesZeitschriftenaufsatz