Dr Ali Hassaine
Dr Dexter Canoy
| Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records | 2024 |
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Dr Ali Hassaine
Dr Dexter Canoy
| An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure | 2022 |
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Dr Dexter Canoy
Dr Ali Hassaine
| Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices | 2021 |
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Dr Ali Hassaine
Dr Dexter Canoy
| Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records | 2021 |
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Dr Ali Hassaine
Dr Dexter Canoy
| Publisher Correction: Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records (Scientific Reports, (2021), 11, 1, (20685), 10.1038/s41598-021-00144-6) | 2021 |
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Dr Ali Hassaine
Dr Dexter Canoy
| BEHRT: Transformer for Electronic Health Records | 2020 |
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Dr Ali Hassaine
Dr Dexter Canoy
| Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation | 2020 |
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Dr Dexter Canoy
Dr Ali Hassaine
| Plasma lipids and risk of aortic valve stenosis: A Mendelian randomization study | 2020 |
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Dr Ali Hassaine
Dr Dexter Canoy
| Untangling the complexity of multimorbidity with machine learning | 2020 |
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Dr Dexter Canoy
Dr Ali Hassaine
| Long-Term Exposure to Elevated Systolic Blood Pressure in Predicting Incident Cardiovascular Disease: Evidence From Large-Scale Routine Electronic Health Records | 2019 |
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