Kazem Rahimi - RankMe

21 papers Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A transformer-based survival model for prediction of all-cause mortality in patients with heart failure: a multi-cohort study. npj Digit. Medicine Shishir Rao, Nouman Ahmed, Gholamreza Salimi-Khorshidi, Christopher Yau, Huimin Su, Nathalie Conrad, Folkert W. Asselbergs, Mark Woodward, Rod Jackson, John G. F. Cleland, Kazem Rahimi
2025	J	`jnl`	A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study. CoRR Shishir Rao, Nouman Ahmed, Gholamreza Salimi-Khorshidi, Christopher Yau, Huimin Su, Nathalie Conrad, Folkert W. Asselbergs, Mark Woodward, Rod Jackson, John G. F. Cleland, Kazem Rahimi
2024	J	`jnl`	RECOMED: A comprehensive pharmaceutical recommendation system. Artif. Intell. Medicine Mariam Zomorodi, Ismail Ghodsollahee, Jennifer H. Martin, Nicholas J. Talley, Vahid Salari, Pawel Plawiak, Kazem Rahimi, U. Rajendra Acharya
2024	J	`jnl`	Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. IEEE Trans. Neural Networks Learn. Syst. Shishir Rao, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi
2023	J	`jnl`	Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
2022	J	`jnl`	An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE J. Biomed. Health Informatics Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
2022	J	`jnl`	Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi
2022	J	`jnl`	Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records. CoRR Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi
2022	J	`jnl`	Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring. Remote. Sens. Thomas Fisher, Harry Gibson, Yunzhe Liu, Moloud Abdar, Marius Posa, Gholamreza Salimi-Khorshidi, Abdelaali Hassaïne, Yutong Cai, Kazem Rahimi, Mohammad Mamouei
2021	J	`jnl`	An explainable Transformer-based deep learning model for the prediction of incident heart failure. CoRR Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
2021	J	`jnl`	Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records. CoRR Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
2021	J	`jnl`	Transfer Learning in Electronic Health Records through Clinical Concept Embedding. CoRR José Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaïne, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi Khorshidi
2020	J	`jnl`	Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. CoRR Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi
2020	J	`jnl`	Deep learning for electronic health records: A comparative review of multiple deep neural architectures. J. Biomed. Informatics 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
2020	J	`jnl`	Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation. J. Biomed. Informatics Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Mariagrazia Zottoli, Kazem Rahimi, Gholamreza Salimi Khorshidi
2019	J	`jnl`	BEHRT: Transformer for Electronic Health Records. CoRR Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaïne, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi Khorshidi
2019	J	`jnl`	Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews. Int. J. Medical Informatics Andreas Triantafyllidis, Haridimos Kondylakis, Konstantinos Votis, Dimitrios Tzovaras, Nicos Maglaveras, Kazem Rahimi
2019	J	`jnl`	Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation. CoRR Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Kazem Rahimi, Gholamreza Salimi Khorshidi
2018	—	`conf`	Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches. EMBC Johanna O'Donnell, Carmelo Velardo, Syed Ahmar Shah, Gholamreza Salimi Khorshidi, Dario Salvi, Kazem Rahimi, Lionel Tarassenko
2015	J	`jnl`	A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study. Int. J. Medical Informatics Andreas Triantafyllidis, Carmelo Velardo, Tracey Chantler, Syed Ahmar Shah, Chris Paton, Reza Khorshidi, Lionel Tarassenko, Kazem Rahimi
2014	—	`conf`	Supporting heart failure patients through personalized mobile health monitoring. MobiHealth Andreas Triantafyllidis, Carmelo Velardo, Syed Ahmar Shah, Lionel Tarassenko, Tracey Chantler, Chris Paton, Kazem Rahimi