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A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records., , , , , , , , , and . IEEE Access, (2019)Treatment effect prediction with adversarial deep learning using electronic health records., , , , and . BMC Medical Informatics Decis. Mak., 20-S (4): 139 (2020)On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records., , , , and . IEEE J. Biomed. Health Informatics, 24 (7): 2053-2063 (2020)Using neural attention networks to detect adverse medical events from electronic health records., , , , and . J. Biomed. Informatics, (2018)CUTS: Neural Causal Discovery from Irregular Time-Series Data., , , , , , and . ICLR, OpenReview.net, (2023)DeepKG: an end-to-end deep learning-based workflow for biomedical knowledge graph extraction, optimization and applications., , , , , , and . Bioinform., 38 (5): 1477-1479 (2022)Deep representation learning for individualized treatment effect estimation using electronic health records., , , , , and . J. Biomed. Informatics, (2019)Probabilistic modeling personalized treatment pathways using electronic health records., , , , and . J. Biomed. Informatics, (2018)Real order total variation with applications to the loss functions in learning schemes., , and . CoRR, (2022)Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data., , , , , , , , , and . Inf. Fusion, (May 2024)