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
G. Salimi-Khorshidi
First name
G.
Last name
Salimi-Khorshidi
Emdin, C. A., Anderson, S. G., Callender, T. ., Conrad, N. ., Salimi-Khorshidi, G. ., Mohseni, H. ., … Rahimi, K. . (2015). Usual blood pressure, peripheral arterial disease, and vascular risk: cohort study of 4.2 million adults. Bmj. http://doi.org/10.1136/bmj.h4865
Emdin, C. A., Rothwell, P. M., Salimi-Khorshidi, G. ., Kiran, A. ., Conrad, N. ., Callender, T. ., … Rahimi, K. . (2016). Blood Pressure and Risk of Vascular Dementia: Evidence From a Primary Care Registry and a Cohort Study of Transient Ischemic Attack and Stroke. Stroke. http://doi.org/10.1161/strokeaha.116.012658
Emdin, C. A., Anderson, S. G., Salimi-Khorshidi, G. ., Woodward, M. ., MacMahon, S. ., Dwyer, T. ., & Rahimi, K. . (2017). Usual blood pressure, atrial fibrillation and vascular risk: evidence from 4.3 million adults. Int J Epidemiol. http://doi.org/10.1093/ije/dyw053
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
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