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Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations., , и . BioNLP@ACL, стр. 275-284. Association for Computational Linguistics, (2022)Research and applications: Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers., , , , и . J. Am. Medical Informatics Assoc., 21 (5): 815-823 (2014)Influence of Chest Compression on Amplitude Spectrum Area for the Prediction of the Return of Spontaneous Circulation in a Pediatric Swine Model., , , , , , , , , и 5 other автор(ы). CinC, стр. 1-4. IEEE, (2023)Comparison of machine learning classifiers for influenza detection from emergency department free-text reports., , , , , и . J. Biomed. Informatics, (2015)Prediction of Return of Spontaneous Circulation in a Pediatric Swine Model of Cardiac Arrest Using Low-Resolution Multimodal Physiological Waveforms., , , , , , , , , и 8 other автор(ы). IEEE J. Biomed. Health Informatics, 27 (10): 4719-4727 (октября 2023)Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data., , , , , и . AMIA, AMIA, (2022)Retrospective and Prospective Evaluations of the System for Hospital Adaptive Readmission Prediction and Management (SHARP) for All-Cause 30-Day Pediatric Readmission Prediction., , , , , , и . AMIA, AMIA, (2017)Design and deployment of a real-time AI-based telehealth system for deterioration prediction of critical-care patients in a large children's hospital., , , , , , , и . AMIA, AMIA, (2020)A method for detecting and characterizing outbreaks of infectious disease from clinical reports., , , , , и . J. Biomed. Informatics, (2015)