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Deep Learning to Jointly Schema Match, Impute, and Transform Databases., , , , , and . CoRR, (2022)A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks., , , and . CoRR, (2023)A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room., , , , and . AMIA, AMIA, (2019)Postoperative Mortality Prediction with and Without the Use of Intraoperative Features., , , , , and . AMIA, AMIA, (2020)Self-explaining Hierarchical Model for Intraoperative Time Series., , , , , , and . ICDM, page 1041-1046. IEEE, (2022)(Un)fairness in Post-operative Complication Prediction Models., , , , , and . CoRR, (2020)Perioperative Predictions with Interpretable Latent Representation., , , , , , , and . KDD, page 4268-4278. ACM, (2022)A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues., , , , , , , and . Trans. Mach. Learn. Res., (2023)Time Associated Meta Learning for Clinical Prediction., , , , , , , and . CoRR, (2023)Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial., , , , , , , , , and 7 other author(s). F1000Research, (2019)