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A Systematic Review of Healthcare Information Technology Anomaly Classification., , , , , , , , , and 3 other author(s). ICHI, page 393-400. IEEE, (2022)Towards a Comparative Assessment of Data-Driven Process Models in Health Information Technology., , , , , , and . ICHI, page 338-343. IEEE, (2023)EHR-BERT: A BERT-based model for effective anomaly detection in electronic health records., , , , , , , , and . J. Biomed. Informatics, (2024)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)Adaptive Anomaly Detection for Dynamic Clinical Event Sequences., , , , , , , , , and 5 other author(s). IEEE BigData, page 4919-4928. IEEE, (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)Using EHR Data to Evaluate CPOE Safety., , , and . AMIA, AMIA, (2019)