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Multi-center validation of machine learning model for preoperative prediction of postoperative mortality.

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Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health., , , and . IJCAI, page 7421-7429. ijcai.org, (2024)A Deep Learning Method for Intraoperative Age-agnostic and Disease-specific Cardiac Output Monitoring from Arterial Blood Pressure., , , and . BIBE, page 662-666. IEEE, (2020)Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset., , , , , and . Comput. Biol. Medicine, (April 2023)Attention Mechanisms for Physiological Signal Deep Learning: Which Attention Should We Take?, , , and . MICCAI (1), volume 13431 of Lecture Notes in Computer Science, page 613-622. Springer, (2022)Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data., , , , , , , , and . J. Biomed. Informatics, (2024)Multi-center validation of machine learning model for preoperative prediction of postoperative mortality., , , , , , , , and . npj Digit. Medicine, (2022)Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture., , , , , , , , , and . J. Am. Medical Informatics Assoc., 31 (1): 79-88 (December 2023)Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study., , , , , , , , , and 8 other author(s). CoRR, (2021)Comparison of NLP machine learning models with human physicians for ASA Physical Status classification., , , , and . npj Digit. Medicine, (2024)Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia., , , , , , and . npj Digit. Medicine, (2023)