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A Systematic Review of Healthcare Information Technology Anomaly Classification., , , , , , , , , and 3 other author(s). ICHI, page 393-400. IEEE, (2022)A framework for inferring and analyzing pharmacotherapy treatment patterns., , , , , , , , , and 1 other author(s). BMC Medical Informatics Decis. Mak., 24 (1): 68 (December 2024)Uncovering the Cognitive Demands of EHR Use via Task Analysis., , , , , and . AMIA, AMIA, (2015)Adaptive Anomaly Detection for Dynamic Clinical Event Sequences., , , , , , , , , and 5 other author(s). IEEE BigData, page 4919-4928. IEEE, (2020)Characterizing Sub-Cohorts via Data Normalization and Representation Learning., , , , , , , and . CBMS, page 173-176. IEEE, (2020)Detecting anomalous sequences in electronic health records using higher-order tensor networks., , , , , , , , , and . J. Biomed. Informatics, (2022)Analysis of the cognitive demands of electronic health record use., , , , , , , and . J. Biomed. Informatics, (2021)A Knowledge Network-Based Approach to Facilitate Annotation of Clinical Pathway Component Clusters., , , , , and . BHI, page 1-4. IEEE, (2021)Real-time Multi-granular Analytics Framework for HIT Systems., , , , , and . IEEE Big Data, page 3441-3446. IEEE, (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)