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Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records.

, , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (4): 5027-5038 (April 2024)

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Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records., , , , , , , , and . CoRR, (2020)An explainable Transformer-based deep learning model for the prediction of incident heart failure., , , , , , , , and . CoRR, (2021)BEHRT: Transformer for Electronic Health Records., , , , , , , and . CoRR, (2019)An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure., , , , , , , , and . IEEE J. Biomed. Health Informatics, 26 (7): 3362-3372 (2022)Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records., , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (4): 5027-5038 (April 2024)Transfer Learning in Electronic Health Records through Clinical Concept Embedding., , , , , , , , and . CoRR, (2021)Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning., , , , , , , and . CoRR, (2022)Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records., , , , , , , and . CoRR, (2022)Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation., , , , , , , , and . J. Biomed. Informatics, (2020)Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation., , , , , , , and . CoRR, (2019)