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Adaptive Anomaly Detection for Dynamic Clinical Event Sequences., , , , , , , , , and 5 other author(s). IEEE BigData, page 4919-4928. IEEE, (2020)Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles., , , , , , , , , and 1 other author(s). Poly/DMAH@VLDB, volume 12633 of Lecture Notes in Computer Science, page 87-99. Springer, (2020)A Systematic Review of Healthcare Information Technology Anomaly Classification., , , , , , , , , and 3 other author(s). ICHI, page 393-400. IEEE, (2022)A new methodological framework for hazard detection models in health information technology systems., , , , , , , , , and 3 other author(s). J. Biomed. Informatics, (2021)Topic Modeling to Discern Irregular Order Patterns in Unlabeled Electronic Health Records., , , , , , , , , and . BHI, page 1-4. IEEE, (2019)Towards a Comparative Assessment of Data-Driven Process Models in Health Information Technology., , , , , , and . ICHI, page 338-343. IEEE, (2023)Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports., , , , , , , , , and 3 other author(s). J. Biomed. Informatics, (2020)Detecting anomalous sequences in electronic health records using higher-order tensor networks., , , , , , , , , and . J. Biomed. Informatics, (2022)Use of Event-Time Embeddings via RNN to Discern Novel Event Sequences in EHRs., , , , , , , , , and 3 other author(s). ICHI, page 639-643. IEEE, (2022)Process mining for healthcare: Characteristics and challenges., , , , , , , , , and 45 other author(s). J. Biomed. Informatics, (2022)