(2024). Predicting incident heart failure from population-based nationwide electronic health records: protocol for a model development and validation study. Bmj Open, 14, e073455. http://doi.org/10.1136/bmjopen-2023-073455
. *Electronic Health Records
(2023). Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records. Bmc Nephrol, 24, 234. http://doi.org/10.1186/s12882-023-03269-0
. (2023). Frequency and impact of medication reviews for people aged 65 years or above in UK primary care: an observational study using electronic health records. Bmc Geriatr, 23, 435. http://doi.org/10.1186/s12877-023-04143-2
. (2020). Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data. Front Public Health, 8, 54. http://doi.org/10.3389/fpubh.2020.00054
. (2022). Are major lower extremity amputations well recorded in primary care electronic health records?: Insights from primary care electronic health records in England. Prim Health Care Res Dev, 23, e77. http://doi.org/10.1017/s1463423622000718
. (2022). Immortal time bias for life-long conditions in retrospective observational studies using electronic health records. Bmc Med Res Methodol, 22, 86. http://doi.org/10.1186/s12874-022-01581-1
.