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Shishir Rao
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 13
Top Topics
Deep Learning
Gaussian Process
Medical Data
Electronic Health Records
Top Venues
CoRR
IEEE J. Biomed. Health Informatics
IEEE Trans. Neural Networks Learn. Syst.
J. Biomed. Informatics
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Publications
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Shishir Rao
,
Mohammad Mamouei
,
Gholamreza Salimi-Khorshidi
,
Yikuan Li
,
Rema Ramakrishnan
,
Abdelaali Hassaïne
,
Dexter Canoy
,
Kazem Rahimi
Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records.
IEEE Trans. Neural Networks Learn. Syst.
35 (4) (2024)
Yikuan Li
,
Mohammad Mamouei
,
Gholamreza Salimi-Khorshidi
,
Shishir Rao
,
Abdelaali Hassaïne
,
Dexter Canoy
,
Thomas Lukasiewicz
,
Kazem Rahimi
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records.
IEEE J. Biomed. Health Informatics
27 (2) (2023)
Yikuan Li
,
Mohammad Mamouei
,
Shishir Rao
,
Abdelaali Hassaïne
,
Dexter Canoy
,
Thomas Lukasiewicz
,
Kazem Rahimi
,
Gholamreza Salimi Khorshidi
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning.
CoRR
(2022)
Shishir Rao
,
Mohammad Mamouei
,
Gholamreza Salimi Khorshidi
,
Yikuan Li
,
Rema Ramakrishnan
,
Abdelaali Hassaïne
,
Dexter Canoy
,
Kazem Rahimi
Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records.
CoRR
(2022)
Shishir Rao
,
Yikuan Li
,
Rema Ramakrishnan
,
Abdelaali Hassaïne
,
Dexter Canoy
,
John G. F. Cleland
,
Thomas Lukasiewicz
,
Gholamreza Salimi Khorshidi
,
Kazem Rahimi
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.
IEEE J. Biomed. Health Informatics
26 (7) (2022)
Yikuan Li
,
Shishir Rao
,
Mohammad Mamouei
,
Gholamreza Salimi Khorshidi
,
Dexter Canoy
,
Abdelaali Hassaïne
,
Thomas Lukasiewicz
Risk factor identification for incident heart failure using neural network distillation and variable selection.
CoRR
(2021)
Yikuan Li
,
Mohammad Mamouei
,
Gholamreza Salimi Khorshidi
,
Shishir Rao
,
Abdelaali Hassaïne
,
Dexter Canoy
,
Thomas Lukasiewicz
,
Kazem Rahimi
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records.
CoRR
(2021)
José Roberto Ayala Solares
,
Yajie Zhu
,
Abdelaali Hassaïne
,
Shishir Rao
,
Yikuan Li
,
Mohammad Mamouei
,
Dexter Canoy
,
Kazem Rahimi
,
Gholamreza Salimi Khorshidi
Transfer Learning in Electronic Health Records through Clinical Concept Embedding.
CoRR
(2021)
Shishir Rao
,
Yikuan Li
,
Rema Ramakrishnan
,
Abdelaali Hassaïne
,
Dexter Canoy
,
John Cleland
,
Thomas Lukasiewicz
,
Gholamreza Salimi Khorshidi
,
Kazem Rahimi
An explainable Transformer-based deep learning model for the prediction of incident heart failure.
CoRR
(2021)
Abdelaali Hassaïne
,
Dexter Canoy
,
José Roberto Ayala Solares
,
Yajie Zhu
,
Shishir Rao
,
Yikuan Li
,
Mariagrazia Zottoli
,
Kazem Rahimi
,
Gholamreza Salimi Khorshidi
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation.
J. Biomed. Informatics
112 (2020)
Yikuan Li
,
Shishir Rao
,
Abdelaali Hassaïne
,
Rema Ramakrishnan
,
Yajie Zhu
,
Dexter Canoy
,
Gholamreza Salimi Khorshidi
,
Thomas Lukasiewicz
,
Kazem Rahimi
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records.
CoRR
(2020)
Abdelaali Hassaïne
,
Dexter Canoy
,
José Roberto Ayala Solares
,
Yajie Zhu
,
Shishir Rao
,
Yikuan Li
,
Kazem Rahimi
,
Gholamreza Salimi Khorshidi
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation.
CoRR
(2019)
Yikuan Li
,
Shishir Rao
,
José Roberto Ayala Solares
,
Abdelaali Hassaïne
,
Dexter Canoy
,
Yajie Zhu
,
Kazem Rahimi
,
Gholamreza Salimi Khorshidi
BEHRT: Transformer for Electronic Health Records.
CoRR
(2019)