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)

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)

Risk factor identification for incident heart failure using neural network distillation and variable selection. - Yikuan Li; Shishir Rao; Mohammad Mamouei; Gholamreza Salimi Khorshidi; Dexter Canoy; Abdelaali Hassaïne; Thomas Lukasiewicz (CoRR, 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)

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)

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)

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)