Canoy, Dexter

Pharmacological blood pressure lowering for primary and secondary prevention of cardiovascular disease across different levels of blood pressure: an individual participant-level data meta-analysis

Rahimi, K., Bidel, Z., Nazarzadeh, M., Copland, E., Canoy, D., Ramakrishnan, R., Pinho-Gomes, A.-C., Woodward, M., Adler, A., Agodoa, L., et al. (2021) · The Lancet

Blood Pressure and Hypertension StudiesSodium Intake and Health

Cited by 1,074

BEHRT: Transformer for Electronic Health Records

Li, Y., Rao, S., Solares, J. R. A., Hassaine, A., Ramakrishnan, R., Canoy, D., Zhu, Y., Rahimi, K., & Salimi-Khorshidi, G. (2020) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 595

Body Fat Distribution and Risk of Coronary Heart Disease in Men and Women in the European Prospective Investigation Into Cancer and Nutrition in Norfolk Cohort: A Population-Based Prospective Study

Canoy, D., Boekholdt, S. M., Wareham, N., Luben, R., Welch, A., Bingham, S., Buchan, I., Day, N., & Khaw, K.-T. (2007) · Circulation

Diabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Disease and Adiposity

Cited by 472

Deep learning for electronic health records: A comparative review of multiple deep neural architectures

Ayala Solares, J. R., Diletta Raimondi, F. E., Zhu, Y., Rahimian, F., Canoy, D., Tran, J., Pinho Gomes, A. C., Payberah, A. H., Zottoli, M., Nazarzadeh, M., et al. (2020) · Journal of Biomedical Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 247

Plasma lipids and risk of aortic valve stenosis: a Mendelian randomization study

Nazarzadeh, M., Pinho-Gomes, A.-C., Bidel, Z., Dehghan, A., Canoy, D., Hassaine, A., Ayala Solares, J. R., Salimi-Khorshidi, G., Smith, G. D., Otto, C. M., et al. (2020) · European Heart Journal

Cardiac Valve Diseases and TreatmentsLipoproteins and Cardiovascular Health

Cited by 163

Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

Li, Y., Mamouei, M., Salimi-Khorshidi, G., Rao, S., Hassaine, A., Canoy, D., Lukasiewicz, T., & Rahimi, K. (2023) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 156