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Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics., , , , , , , и . CoRR, (2018)Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records., , , , , , , , , и . BHI, стр. 1-5. IEEE, (2023)DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning., , , , , и . CoRR, (2018)Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision., , , , , , , , , и 4 other автор(ы). CoRR, (2024)Federated learning model for predicting major postoperative complications., , , , , , , , , и 1 other автор(ы). CoRR, (2024)Application of Deep Interpolation Network for Clustering of Physiologic Time Series., , , , , , , , , и . CoRR, (2020)Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU., , , , , и . Frontiers Digit. Health, (2021)Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data., , , , , и . BIBE, стр. 568-573. IEEE Computer Society, (2017)Activity and circadian rhythm of sepsis patients in the Intensive Care Unit., , , , , , и . BHI, стр. 17-20. IEEE, (2018)Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records., , , , , , , , , и 3 other автор(ы). CoRR, (2024)