Y. Li

First name
Last name
Wamil, M., Hassaine, A., Rao, S., Li, Y., Mamouei, M., Canoy, D., et al. (2023). Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis. Sci Rep, 13, 11478. http://doi.org/10.1038/s41598-023-38251-1
Tianyi, F. L., Li, Y., Alderdice, F., Quigley, M. A., Kurinczuk, J. J., Bankhead, C., & Carson, C. (2022). The association between conception history and subsequent postpartum depression and/or anxiety: Evidence from the Clinical Practice Research Datalink 1991-2013. J Affect Disord, 310, 266-273. http://doi.org/10.1016/j.jad.2022.04.138
Van Staa, T., Li, Y., Gold, N., Chadborn, T., Welfare, W., Palin, V., et al. (2022). Comparing antibiotic prescribing between clinicians in UK primary care: an analysis in a cohort study of eight different measures of antibiotic prescribing. Bmj Qual Saf. http://doi.org/10.1136/bmjqs-2020-012108
Li, Y., Molter, A., White, A., Welfare, W., Palin, V., Belmonte, M., et al. (2019). Relationship between prescribing of antibiotics and other medicines in primary care: a cross-sectional study. Br J Gen Pract. http://doi.org/10.3399/bjgp18X700457
Li, Y., Sperrin, M., Belmonte, M., Pate, A., Ashcroft, D. M., & van Staa, T. P. (2019). Do population-level risk prediction models that use routinely collected health data reliably predict individual risks?. Sci Rep. http://doi.org/10.1038/s41598-019-47712-5
van Staa, T. P., Palin, V., Li, Y., Welfare, W., Felton, T. W., Dark, P., & Ashcroft, D. M. (2020). The effectiveness of frequent antibiotic use in reducing the risk of infection-related hospital admissions: results from two large population-based cohorts. BMC Med. http://doi.org/10.1186/s12916-020-1504-5
Li, Y., Sperrin, M., Martin, G. P., Ashcroft, D. M., & van Staa, T. P. (2020). Examining the impact of data quality and completeness of electronic health records on predictions of patients\textquoteright risks of cardiovascular disease. Int J Med Inform. http://doi.org/10.1016/j.ijmedinf.2019.104033
Li, Y., Rao, S., Solares, J. R. A., Hassaine, A., Ramakrishnan, R., Canoy, D., et al. (2020). BEHRT: Transformer for Electronic Health Records. Sci Rep. http://doi.org/10.1038/s41598-020-62922-y
Li, Y., Sperrin, M., Ashcroft, D. M., & van Staa, T. P. (2020). Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar. Bmj. http://doi.org/10.1136/bmj.m3919
Mistry, C., Palin, V., Li, Y., Martin, G. P., Jenkins, D., Welfare, W., et al. (2020). Development and validation of a multivariable prediction model for infection-related complications in patients with common infections in UK primary care and the extent of risk-based prescribing of antibiotics. BMC Med. http://doi.org/10.1186/s12916-020-01581-2