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Detecting anomalous sequences in electronic health records using higher-order tensor networks., , , , , , , , , и . J. Biomed. Informatics, (2022)Use of Event-Time Embeddings via RNN to Discern Novel Event Sequences in EHRs., , , , , , , , , и 3 other автор(ы). ICHI, стр. 639-643. IEEE, (2022)Automated Extraction of Disease Activity Component Measures From Electronic Medical Records Using Natural Language Processing., , , , , и . AMIA, AMIA, (2016)An Agent-Based Model for Evaluating Surveillance Methods for Catheter-Related Bloodstream Infection., , , , , , , и . AMIA, AMIA, (2008)Factors Affecting Quality of Cause of Death on Death Certificates., , , , и . AMIA, AMIA, (2012)Transforming the National Department of Veterans Affairs Data Warehouse to the OMOP Common Data Model., , , , , , , , , и . AMIA, AMIA, (2015)Development and Validation of a Natural Language Processing Tool to Identify Patients Treated for Pneumonia across VA Emergency Departments., , , , , , , , и . Appl. Clin. Inform., 09 (01): 122-128 (2018)Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses., , , , и . Journal of clinical epidemiology, (ноября 2016)Mesures d'associació; Observacionals; Immortal time bias; CER.A Systematic Review of Healthcare Information Technology Anomaly Classification., , , , , , , , , и 3 other автор(ы). ICHI, стр. 393-400. IEEE, (2022)Improving Efficiency in Text Extraction using the Extendable and Accumulable Text Extraction Platform (EATEP)., , , и . AMIA, AMIA, (2013)