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Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records.

Y. Li, S. Rao, A. Hassaïne, R. Ramakrishnan, Y. Zhu, D. Canoy, G. Khorshidi, T. Lukasiewicz, и K. Rahimi. CoRR, (2020)

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Dexter S Maben

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An explainable Transformer-based deep learning model for the prediction of incident heart failure.S. Rao, Y. Li, R. Ramakrishnan, A. Hassaïne, D. Canoy, J. Cleland, T. Lukasiewicz, G. Khorshidi, и K. Rahimi. CoRR, (2021)BEHRT: Transformer for Electronic Health Records.Y. Li, S. Rao, J. Solares, A. Hassaïne, D. Canoy, Y. Zhu, K. Rahimi, и G. Khorshidi. CoRR, (2019)An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.S. Rao, Y. Li, R. Ramakrishnan, A. Hassaïne, D. Canoy, J. Cleland, T. Lukasiewicz, G. Khorshidi, и K. Rahimi. IEEE J. Biomed. Health Informatics, 26 (7): 3362-3372 (2022)Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records.S. Rao, M. Mamouei, G. Salimi-Khorshidi, Y. Li, R. Ramakrishnan, A. Hassaïne, D. Canoy, и K. Rahimi. IEEE Trans. Neural Networks Learn. Syst., 35 (4): 5027-5038 (апреля 2024)Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records.Y. Li, S. Rao, A. Hassaïne, R. Ramakrishnan, Y. Zhu, D. Canoy, G. Khorshidi, T. Lukasiewicz, и K. Rahimi. CoRR, (2020)Transfer Learning in Electronic Health Records through Clinical Concept Embedding.J. Solares, Y. Zhu, A. Hassaïne, S. Rao, Y. Li, M. Mamouei, D. Canoy, K. Rahimi, и G. Khorshidi. CoRR, (2021)Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records.S. Rao, M. Mamouei, G. Khorshidi, Y. Li, R. Ramakrishnan, A. Hassaïne, D. Canoy, и K. Rahimi. CoRR, (2022)Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning.Y. Li, M. Mamouei, S. Rao, A. Hassaïne, D. Canoy, T. Lukasiewicz, K. Rahimi, и G. Khorshidi. CoRR, (2022)Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation.A. Hassaïne, D. Canoy, J. Solares, Y. Zhu, S. Rao, Y. Li, M. Zottoli, K. Rahimi, и G. Khorshidi. J. Biomed. Informatics, (2020)Risk factor identification for incident heart failure using neural network distillation and variable selection.Y. Li, S. Rao, M. Mamouei, G. Khorshidi, D. Canoy, A. Hassaïne, и T. Lukasiewicz. CoRR, (2021)

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Dexter S Maben

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