Staff Profile
Dr Ali Hassaine
- Address: UK National Innovation Centre for Ageing
The Catalyst
3 Science Square
Newcastle upon Tyne NE4 5TG
Background
Dr. Ali Hassaine is a data scientist with over 10 years of experience. He excels in extracting meaningful insights from diverse data types, including text, image, audio, EHR, and financial data. With a strong track record of delivering impactful results.
Publications
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Articles
- Rao S, Mamouei M, Salimi-Khorshidi G, Li Y, Ramakrishnan R, Hassaine A, Canoy D, Rahimi K. Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. IEEE Transactions on Neural Networks and Learning Systems 2024, 35(4), 5027-5038.
- Rao S, Li Y, Ramakrishnan R, Hassaine A, Canoy D, Cleland J, Lukasiewicz T, Salimi-Khorshidi G, Rahimi K. An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE Journal of Biomedical and Health Informatics 2022, 26(7), 3362-3372.
- Li Y, Rao S, Hassaine A, Ramakrishnan R, Canoy D, Salimi-Khorshidi G, Mamouei M, Lukasiewicz T, Rahimi K. Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records. Scientific Reports 2021, 11(1), 20685.
- Canoy D, Tran J, Zottoli M, Ramakrishnan R, Hassaine A, Rao S, Li Y, Salimi-Khorshidi G, Norton R, Rahimi K. Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices. BMC Medicine 2021, 19(1), 258.
- Hassaine A, Salimi-Khorshidi G, Canoy D, Rahimi K. Untangling the complexity of multimorbidity with machine learning. Mechanisms of Ageing and Development 2020, 190, 111325.
- Nazarzadeh M, Pinho-Gomes A-C, Bidel Z, Dehghan A, Canoy D, Hassaine A, Ayala Solares JR, Salimi-Khorshidi G, Smith GD, Otto CM, Rahimi K. Plasma lipids and risk of aortic valve stenosis: A Mendelian randomization study. European Heart Journal 2020, 41(40), 3913-3920.
- Hassaine A, Canoy D, Solares JRA, Zhu Y, Rao S, Li Y, Zottoli M, Rahimi K, Salimi-Khorshidi G. Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation. Journal of Biomedical Informatics 2020, 112, 103606.
- Li Y, Rao S, Solares JRA, Hassaine A, Ramakrishnan R, Canoy D, Zhu Y, Rahimi K, Salimi-Khorshidi G. BEHRT: Transformer for Electronic Health Records. Scientific Reports 2020, 10(1), 7155.
- Ayala Solares JR, Canoy D, Raimondi FED, Zhu Y, Hassaine A, Salimi-Khorshidi G, Tran J, Copland E, Zottoli M, Pinho-Gomes A-C, Nazarzadeh M, Rahimi K. Long-Term Exposure to Elevated Systolic Blood Pressure in Predicting Incident Cardiovascular Disease: Evidence From Large-Scale Routine Electronic Health Records. Journal of the American Heart Association 2019, 8(12), e012129.
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Note
- Li Y, Rao S, Hassaine A, Ramakrishnan R, Canoy D, Salimi-Khorshidi G, Mamouei M, Lukasiewicz T, Rahimi K. 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). Scientific Reports 2021, 11(1), 22254.