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Interpretable and robust hospital readmission predictions from Electronic Health Records.

H. Calero-Díaz, R. Hamad, C. Atallah, J. Casement, D. Canoy, N. Reynolds, M. Barnes, and P. Missier. IEEE Big Data, page 3679-3687. IEEE, (2023)

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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, and K. Rahimi. CoRR, (2021)BEHRT: Transformer for Electronic Health Records.Y. Li, S. Rao, J. Solares, A. Hassaïne, D. Canoy, Y. Zhu, K. Rahimi, and 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, and 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, and K. Rahimi. IEEE Trans. Neural Networks Learn. Syst., 35 (4): 5027-5038 (April 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, and K. Rahimi. CoRR, (2020)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, and G. Khorshidi. J. Biomed. Informatics, (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, and 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, and 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, and G. Khorshidi. CoRR, (2022)Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records.Y. Li, M. Mamouei, G. Khorshidi, S. Rao, A. Hassaïne, D. Canoy, T. Lukasiewicz, and K. Rahimi. CoRR, (2021)

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Interpretable and robust hospital readmission predictions from Electronic Health Records.

Please choose a person to relate this publication to

Dexter S Maben

Other publications of authors with the same name

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Interpretable and robust hospital readmission predictions from Electronic Health Records.

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Dexter S Maben

Other publications of authors with the same name

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Interpretable and robust hospital readmission predictions from Electronic Health Records.