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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)Detecting anomalous sequences in electronic health records using higher-order tensor networks., , , , , , , , , и . J. Biomed. Informatics, (2022)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.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)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)Adaptive Anomaly Detection for Dynamic Clinical Event Sequences., , , , , , , , , и 5 other автор(ы). IEEE BigData, стр. 4919-4928. IEEE, (2020)Reference Standard Development to Train Natural Language Processing Algorithms to Detect Problematic Buprenorphine-Naloxone Therapy., , , , , , , , , и 6 other автор(ы). AMIA, AMIA, (2018)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)