Untangling the complexity of multimorbidity with machine learning by Hassaine, A, Salimi-Khorshidi, G, Canoy, D, Rahimi, K

Hi-BEHRT: Hierarchical transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records by Li, Y, Mamouei, M, Salimi-Khorshidi, G, Rao, S, Hassaine, A, Canoy, D, Lukasiewicz, T, Rahimi, K

Investigating the association of environmental exposures and all-cause mortality in the UK Biobank using sparse principal component analysis by Mamouei, M, Zhu, Y, Nazarzadeh, M, Rahimi, K, Hassaine, A, Salimi-Khorshidi, G, Cai, Y

Validation of risk prediction models applied to longitudinal electronic health record data for the prediction of major cardiovascular events in the presence of data shifts by Li, Y, Salimi-Khorshidi, G, Rao, S, Canoy, D, Hassaine, A, Lukasiewicz, T, Rahimi, K, Mamouei, M

Systolic blood pressure and cardiovascular risk in patients with diabetes: a prospective cohort study by Rao, S, Li, Y, Nazarzadeh, M, Canoy, D, Mamouei, M, Hassaine, A, Salimi-Khorshidi, G, Rahimi, K

Targeted-BEHRT: deep learning for observational causal inference on longitudinal electronic health records by Rao, S, Mamouei, M, Salimi-Khorshidi, G, Li, Y, Ramakrishnan, R, Canoy, D, Hassaine, A, Rahimi, K

Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records by Li, Y, Rao, S, Hassaine, A, Ramakrishnan, R, Canoy, D, Salimi-Khorshidi, G, Mamouei, M, Lukasiewicz, T, Rahimi, K

An explainable transformer-based deep learning model for the prediction of incident heart failure by Rao, S, Li, Y, Ramakrishnan, R, Hassaine, A, Canoy, D, Cleland, JG, Lukasiewicz, T, Salimi-Khorshidi, G, Rahimi, K

BEHRT: transformer for electronic health records by Li, Y, Rao, S, Solares, R, Hassaine, A, Ramakrishnan, R, Canoy, D, Zhu, Y, Rahimi, K, Salimi-Khorshidi, G

Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation by Hassaine, A, Canoy, D, Solares, JRA, Zhu, Y, Rao, S, Li, Y, Zottoli, M, Rahimi, K, Salimi-Khorshidi, G

Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices by Canoy, D, Tran, J, Zottoli, M, Ramakrishnan, R, Hassaine, A, Rao, S, Li, Y, Salimi-Khorshidi, G, Norton, R, Rahimi, K

Uncertainty-aware interpretable deep learning for slum mapping and monitoring by Fisher, T, Gibson, H, Liu, Y, Abdar, M, Posa, M, Salimi-Khorshidi, G, Hassaine, A, Cai, Y, Rahimi, K, Mamouei, M

Blood pressure and risk of venous thromboembolism: a cohort analysis of 5.5 million UK adults and Mendelian randomization studies by Nazarzadeh, M, Bidel, Z, Mohseni, H, Canoy, D, Pinho-Gomes, AC, Hassaine, A, Dehghan, A, Tregouet, DA, Smith, NL, Rahimi, K

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis by Wamil, M, Hassaine, A, Rao, S, Li, Y, Mamouei, M, Canoy, D, Nazarzadeh, M, Bidel, Z, Copland, E, Rahimi, K, Salimi-Khorshidi, G

Plasma lipids and risk of aortic valve stenosis: A Mendelian randomization study by Nazarzadeh, M, Pinho-Gomes, A-C, Bidel, Z, Dehghan, A, Canoy, D, Hassaine, A, Ayales Solares, R, Gholamreza, S-K, Smith, GD, Otto, CM, Rahimi, K

Long-term exposure to elevated systolic blood pressure in predicting incident cardiovascular disease: evidence from large-scale routine electronic health records by Solares, JR, Canoy, D, Raimondi, FED, Zhu, Y, Hassaine, A, Salimi-Khorshidi, G, Tran, J, Copland, E, Zottoli, M, Gomes, A-C, Nazarzadeh, M, Rahimi, K