D. Canoy

First name
Last name
Wamil, M. ., Hassaine, A. ., Rao, S. ., Li, Y. ., Mamouei, M. ., Canoy, D. ., … Salimi-Khorshidi, G. . (2023). Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis. Sci Rep, 13, 11478. http://doi.org/10.1038/s41598-023-38251-1
Mizani, M. A., Dashtban, A. ., Pasea, L. ., Lai, A. G., Thygesen, J. ., Tomlinson, C. ., … Banerjee, A. . (2022). Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study. J R Soc Med, 1410768221131897. http://doi.org/10.1177/01410768221131897
Nazarzadeh, M. ., Bidel, Z. ., Mohseni, H. ., Canoy, D. ., Pinho-Gomes, A. C., Hassaine, A. ., … Rahimi, K. . (2022). Blood pressure and risk of venous thromboembolism: a cohort analysis of 5.5 million UK adults and Mendelian randomization studies. Cardiovasc Res. http://doi.org/10.1093/cvr/cvac135
Rahimian, F. ., Salimi-Khorshidi, G. ., Payberah, A. H., Tran, J. ., Solares, A. ., Raimondi, F. ., … Rahimi, K. . (2018). Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records. PLoS Med. http://doi.org/10.1371/journal.pmed.1002695
Tran, J. ., Norton, R. ., Conrad, N. ., Rahimian, F. ., Canoy, D. ., Nazarzadeh, M. ., & Rahimi, K. . (2018). Patterns and temporal trends of comorbidity among adult patients with incident cardiovascular disease in the UK between 2000 and 2014: A population-based cohort study. PLoS Med. http://doi.org/10.1371/journal.pmed.1002513
Conrad, N. ., Judge, A. ., Canoy, D. ., Tran, J. ., Pinho-Gomes, A. C., Millett, E. R. C., … Rahimi, K. . (2019). Temporal Trends and Patterns in Mortality After Incident Heart Failure: A Longitudinal Analysis of 86000 Individuals. JAMA Cardiol. http://doi.org/10.1001/jamacardio.2019.3593
Solares, J. R. A., Canoy, D. ., Raimondi, F. E. D., Zhu, Y. ., Hassaine, A. ., Salimi-Khorshidi, G. ., … Rahimi, K. . (2019). Long-Term Exposure to Elevated Systolic Blood Pressure in Predicting Incident Cardiovascular Disease: Evidence From Large-Scale Routine Electronic Health Records. J Am Heart Assoc. http://doi.org/10.1161/jaha.119.012129
Conrad, N. ., Judge, A. ., Canoy, D. ., Tran, J. ., O\textquoterightDonnell, J. ., Nazarzadeh, M. ., … Rahimi, K. . (2019). Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients. PLoS Med. http://doi.org/10.1371/journal.pmed.1002805
Li, Y. ., Rao, S. ., Solares, J. R. A., Hassaine, A. ., Ramakrishnan, R. ., Canoy, D. ., … Salimi-Khorshidi, G. . (2020). BEHRT: Transformer for Electronic Health Records. Sci Rep. http://doi.org/10.1038/s41598-020-62922-y
Solares, J. R. A., Raimondi, F. E. D., Zhu, Y. ., Rahimian, F. ., Canoy, D. ., Tran, J. ., … Salimi-Khorshidi, G. . (2020). Deep learning for electronic health records: A comparative review of multiple deep neural architectures. J Biomed Inform. http://doi.org/10.1016/j.jbi.2019.103337