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Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study., , , , , , , , , and 5 other author(s). CoRR, (2024)Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit., , , , , , , , , and . CoRR, (2023)Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status., , , , , , , , and . CoRR, (2023)Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records., , , , , , , , , and . BHI, page 1-5. IEEE, (2023)Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures., , , , , , , , , and 2 other author(s). CoRR, (2023)Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks., , , , , , , , and . Frontiers Digit. Health, (2022)Identification of jointly correlated gene sets., , , and . J. Bioinform. Comput. Biol., 16 (5): 1840019:1-1840019:23 (2018)Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension., , , , , , , , , and 5 other author(s). CoRR, (2019)Identification of co-existing embeddings of a motif in multilayer networks., , , , , , and . BCB, page 39:1-39:10. ACM, (2022)Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision., , , , , , , , , and 4 other author(s). CoRR, (2024)