Dexter Canoy
Orcid: 0000-0003-4493-9901
According to our database1,
Dexter Canoy
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
2023
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records.
IEEE J. Biomed. Health Informatics, February, 2023
Interpretable and robust hospital readmission predictions from Electronic Health Records.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.
IEEE J. Biomed. Health Informatics, 2022
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning.
CoRR, 2022
2021
CoRR, 2021
Risk factor identification for incident heart failure using neural network distillation and variable selection.
CoRR, 2021
An explainable Transformer-based deep learning model for the prediction of incident heart failure.
CoRR, 2021
2020
Deep learning for electronic health records: A comparative review of multiple deep neural architectures.
J. Biomed. Informatics, 2020
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation.
J. Biomed. Informatics, 2020
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records.
CoRR, 2020
2019
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation.
CoRR, 2019