Dexter Canoy

University of Oxford

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (16)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (13)

Mohammad Mamouei

University of Oxford

UNITED KINGDOM

View details

Abbas Dehghan

Reader in cardiometabolic diseases

Imperial College London

UNITED KINGDOM

View details

Davies Adeloye

University of Edinburgh

UNITED KINGDOM

View details

Eva Morris

Professor of Health Data Epidemiology

University of Oxford

UNITED KINGDOM

View details

Milad Nazarzadeh

University of Oxford

UNITED KINGDOM

View details

Christopher M. Reid

Curtin University

AUSTRALIA

View details

Eva Gerdts

University of Bergen

NORWAY

View details

Ajay Gupta

Senior Clinical Lecturer

Queen Mary University of London

UNITED KINGDOM

View details

Mary Joan Macleod

University of Aberdeen

UNITED KINGDOM

View details

Zeinab Bidel

University of Oxford

UNITED KINGDOM

View details

Tamsin Morris

Head of Evidence

AstraZeneca UK Limited

UNITED KINGDOM

View details

Kazem Rahimi

University of Oxford

UNITED KINGDOM

View details

Alvina Lai

University College London

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Dexter Canoy

Research Interests

Explore related searches

Contact this professor

Articles (16)

Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records

Sex-Specific Effects of Blood Pressure Lowering Pharmacotherapy for the Prevention of Cardiovascular Disease: An Individual Participant-Level Data Meta-Analysis

Systolic blood pressure, chronic obstructive pulmonary disease and cardiovascular risk.

Systolic Blood Pressure and Cardiovascular Risk in Patients With Diabetes: A Prospective Cohort Study

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

Sodium-based paracetamol: impact on blood pressure, cardiovascular events, and all-cause mortality

Blood pressure and risk of venous thromboembolism: a cohort analysis of 5.5 million UK adults and Mendelian randomization studies

Spousal concordance in adverse childhood experiences and the association with depressive symptoms in middle-aged and older adults

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.

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

Editorial: Renal function and related biomarkers in cardiovascular risk assessment and prevention.

Effects of the COVID-19 pandemic on secondary care for cardiovascular disease in the UK: an electronic health record analysis across three countries.

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.

Correction: Elevated blood pressure, antihypertensive medications and bone health in the population: revisiting old hypotheses and exploring future research directions.

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.

Antihypertensive drug effects on long-term blood pressure: an individual-level data meta-analysis of randomised clinical trials

Collaborators (13)

Mohammad Mamouei

Abbas Dehghan

Davies Adeloye

Eva Morris

Milad Nazarzadeh

Christopher M. Reid

Eva Gerdts

Ajay Gupta

Mary Joan Macleod

Zeinab Bidel

Tamsin Morris

Kazem Rahimi

Alvina Lai

Make your next move.