*Electronic Health Records/statistics & numerical data

Li, Y. ., Kurinczuk, J. J., Alderdice, F. ., Quigley, M. A., Rivero-Arias, O. ., Sanders, J. ., … Carson, C. . (2025). Addressing uncertainty in identifying pregnancies in the English CPRD GOLD Pregnancy Register: a methodological study using a worked example. Int J Popul Data Sci, 10, 2471. http://doi.org/10.23889/ijpds.v10i1.2471
Launders, N. ., Jackson, C. A., Hayes, J. F., John, A. ., Stewart, R. ., Iveson, M. H., … Osborn, D. P. J. (2025). Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study. BMJ Ment Health, 28. http://doi.org/10.1136/bmjment-2024-301409
Graham, S. ., Walker, J. L., Andrews, N. ., Nitsch, D. ., Parker, E. P. K., & McDonald, H. . (2024). Identifying markers of health-seeking behaviour and healthcare access in UK electronic health records. BMJ Open, 14, e081781. http://doi.org/10.1136/bmjopen-2023-081781
Suffel, A. M., Walker, J. L., Campbell, C. ., Carreira, H. ., Warren-Gash, C. ., & McDonald, H. I. (2024). A New Validated Approach for Identifying Childhood Immunizations in Electronic Health Records in the United Kingdom. Pharmacoepidemiol Drug Saf, 33, e5848. http://doi.org/10.1002/pds.5848
Mizani, M. A., Dashtban, A. ., Pasea, L. ., Zeng, Q. ., Khunti, K. ., Valabhji, J. ., … Banerjee, A. . (2024). Identifying subtypes of type 2 diabetes mellitus with machine learning: development, internal validation, prognostic validation and medication burden in linked electronic health records in 420 448 individuals. BMJ Open Diabetes Res Care, 12. http://doi.org/10.1136/bmjdrc-2024-004191