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Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records.

Y. Li, M. Mamouei, G. Salimi-Khorshidi, S. Rao, A. Hassaïne, D. Canoy, T. Lukasiewicz, and K. Rahimi. IEEE J. Biomed. Health Informatics, 27 (2): 1106-1117 (February 2023)

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Kazem Rahimi Saryazdi

Mohammad Kazem Rahimi Gaini

Kazem Nazer

Kazem Safarli

Haidar Rahimi

Other publications of authors with the same name

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)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)Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring.T. Fisher, H. Gibson, Y. Liu, M. Abdar, M. Posa, G. Salimi-Khorshidi, A. Hassaïne, Y. Cai, K. Rahimi, and M. Mamouei. Remote. Sens., 14 (13): 3072 (2022)Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews.A. Triantafyllidis, H. Kondylakis, K. Votis, D. Tzovaras, N. Maglaveras, and K. Rahimi. Int. J. Medical Informatics, (2019)Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation.A. Hassaïne, D. Canoy, J. Solares, Y. Zhu, S. Rao, Y. Li, K. Rahimi, and G. Khorshidi. CoRR, (2019)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)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)Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records.Y. Li, M. Mamouei, G. Salimi-Khorshidi, S. Rao, A. Hassaïne, D. Canoy, T. Lukasiewicz, and K. Rahimi. IEEE J. Biomed. Health Informatics, 27 (2): 1106-1117 (February 2023)

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Disambiguation of "Rahimi, Kazem"

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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

Kazem Rahimi Saryazdi

Mohammad Kazem Rahimi Gaini

Kazem Nazer

Kazem Safarli

Haidar Rahimi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rahimi, Kazem"

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

Kazem Rahimi Saryazdi

Mohammad Kazem Rahimi Gaini

Kazem Nazer

Kazem Safarli

Haidar Rahimi

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records.