Kazem Rahimi

According to our database, Kazem Rahimi authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records.

Shishir Rao, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi

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.

Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi

IEEE J. Biomed. Health Informatics, February, 2023

2022

An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.

Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi

IEEE J. Biomed. Health Informatics, 2022

Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring.

Thomas Fisher, Harry Gibson, Yunzhe Liu, Moloud Abdar, Marius Posa, Gholamreza Salimi-Khorshidi, Abdelaali Hassaïne, Yutong Cai, Kazem Rahimi, Mohammad Mamouei

Remote. Sens., 2022

Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning.

Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi

CoRR, 2022

2021

Transfer Learning in Electronic Health Records through Clinical Concept Embedding.

José Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaïne, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi Khorshidi

CoRR, 2021

An explainable Transformer-based deep learning model for the prediction of incident heart failure.

Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi

CoRR, 2021

2020

Deep learning for electronic health records: A comparative review of multiple deep neural architectures.

José Roberto Ayala Solares, Francesca Elisa Diletta Raimondi, Yajie Zhu, Fatemeh Rahimian, Dexter Canoy, Jenny Tran, Ana Catarina Pinho Gomes, Amir Hossein Payberah, Mariagrazia Zottoli, Milad Nazarzadeh, Nathalie Conrad, Kazem Rahimi, Gholamreza Salimi Khorshidi

J. Biomed. Informatics, 2020

Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation.

Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Mariagrazia Zottoli, Kazem Rahimi, Gholamreza Salimi Khorshidi

J. Biomed. Informatics, 2020

Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records.

Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi

CoRR, 2020

2019

Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews.

Andreas Triantafyllidis, Haridimos Kondylakis, Konstantinos Votis, Dimitrios Tzovaras, Nicos Maglaveras, Kazem Rahimi

Int. J. Medical Informatics, 2019

BEHRT: Transformer for Electronic Health Records.

Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaïne, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi Khorshidi

CoRR, 2019

Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation.

Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Kazem Rahimi, Gholamreza Salimi Khorshidi

CoRR, 2019

2018

Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches.

Johanna O'Donnell, Carmelo Velardo, Syed Ahmar Shah, Gholamreza Salimi Khorshidi, Dario Salvi, Kazem Rahimi, Lionel Tarassenko

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2015

A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study.

Andreas Triantafyllidis, Carmelo Velardo, Tracey Chantler, Syed Ahmar Shah, Chris Paton, Reza Khorshidi, Lionel Tarassenko, Kazem Rahimi

Int. J. Medical Informatics, 2015

2014

Supporting heart failure patients through personalized mobile health monitoring.

Andreas Triantafyllidis, Carmelo Velardo, Syed Ahmar Shah, Lionel Tarassenko, Tracey Chantler, Chris Paton, Kazem Rahimi

Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare: "Transforming healthcare through innovations in mobile and wireless technologies", 2014