(2014). Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients. Eur Heart J, 35, 844-52. http://doi.org/10.1093/eurheartj/eht533.
Electronic Health Records
(2022). Translating and evaluating historic phenotyping algorithms using SNOMED CT. J Am Med Inform Assoc. http://doi.org/10.1093/jamia/ocac158.
(2022). Real-world bleeding in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) and prescribed different combinations of dual antiplatelet therapy (DAPT) in England. Open Heart, 9. http://doi.org/10.1136/openhrt-2022-001999.
(2022). Prognostic model for atrial fibrillation after cardiac surgery: a UK cohort study. Clin Res Cardiol. http://doi.org/10.1007/s00392-022-02068-1.
(2022). Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records. Int J Epidemiol. http://doi.org/10.1093/ije/dyac140.
(2022). Developing and internally validating a prognostic model (P Risk) to improve the prediction of psychosis in a primary care population using electronic health records: The MAPPED study. Schizophr Res, 246, 241-249. http://doi.org/10.1016/j.schres.2022.06.031.
(2022). Long-term impact of pre-incision antibiotics on children born by caesarean section: a longitudinal study based on UK electronic health records. Health Technol Assess, 26, 1-160. http://doi.org/10.3310/zyzc8514.
(2022). Incidence, morbidity, mortality and disparities in dementia: A population linked electronic health records study of 4.3 million individuals. Alzheimers Dement. http://doi.org/10.1002/alz.12635.
(2022). Temporal trends and patterns in atrial fibrillation incidence: A population-based study of 3·4 million individuals. Lancet Reg Health Eur, 17, 100386. http://doi.org/10.1016/j.lanepe.2022.100386.
(2022). Long term impact of prophylactic antibiotic use before incision versus after cord clamping on children born by caesarean section: longitudinal study of UK electronic health records. Bmj, 377, e069704. http://doi.org/10.1136/bmj-2021-069704.