Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dexter S Maben

Other publications of authors with the same name

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)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)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)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)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)Deep learning for electronic health records: A comparative review of multiple deep neural architectures.J. Solares, F. Raimondi, Y. Zhu, F. Rahimian, D. Canoy, J. Tran, A. Gomes, A. Payberah, M. Zottoli, M. Nazarzadeh and 3 other author(s). J. Biomed. Informatics, (2020)

BibSonomy

Disambiguation of "Canoy, Dexter"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records.

Please choose a person to relate this publication to

Dexter S Maben

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Canoy, Dexter"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records.

Please choose a person to relate this publication to

Dexter S Maben

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records.