Supporting heart failure patients through personalized mobile health monitoring. - Andreas Triantafyllidis; Carmelo Velardo; Syed Ahmar Shah; Lionel Tarassenko; Tracey Chantler; Chris Paton; Kazem Rahimi (MobiHealth, 2014)

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)

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 (EMBC, 2018)

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)

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)

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)

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)

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 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; et al. (J. Biomed. Informatics, 2020)

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)

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)

Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring. - Thomas Fisher; Harry Gibson; Yunzhe Liu 001; Moloud Abdar; Marius Posa; Gholamreza Salimi-Khorshidi; Abdelaali Hassaïne; Yutong Cai; Kazem Rahimi; Mohammad Mamouei (Remote. Sens., 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)

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, 2023)

RECOMED: A comprehensive pharmaceutical recommendation system. - Mariam Zomorodi; Ismail Ghodsollahee; Jennifer H. Martin; Nicholas J. Talley; Vahid Salari; Pawel Plawiak; Kazem Rahimi; U. Rajendra Acharya (Artif. Intell. Medicine, 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., 2024)

A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study. - 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 (CoRR, 2025)