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Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records., , , , , , , , , and . BHI, page 1-5. IEEE, (2023)Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics., , , , , , , and . CoRR, (2018)DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning., , , , , and . CoRR, (2018)Federated learning model for predicting major postoperative complications., , , , , , , , , and 1 other author(s). CoRR, (2024)Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision., , , , , , , , , and 4 other author(s). CoRR, (2024)Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications., , , , , and . CoRR, (2020)Phenotype clustering in health care: A narrative review for clinicians., , , , , , , , , and 7 other author(s). Frontiers Artif. Intell., (2022)Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data., , , , , , , , , and 1 other author(s). BIBM, page 2207-2212. IEEE, (2023)Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications., , , , , , , , , and 3 other author(s). CoRR, (2024)Pain and Physical Activity Association in Critically Ill Patients*., , , , and . EMBC, page 5696-5699. IEEE, (2020)