S. Denaxas

First name
S.
Last name
Denaxas
Shah, A. D., Bailey, E., Williams, T., Denaxas, S., Dobson, R., & Hemingway, H. (2019). Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. J Biomed Semantics. http://doi.org/10.1186/s13326-019-0214-4
Pikoula, M., Quint, J. K., Nissen, F., Hemingway, H., Smeeth, L., & Denaxas, S. (2019). Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. BMC Med Inform Decis Mak. http://doi.org/10.1186/s12911-019-0805-0
Kuan, V., Denaxas, S., Izquierdo, G. -, Direk, K., Bhatti, O., Husain, S., et al. (2019). A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service. The Lancet Digital Health. http://doi.org/10.1016/S2589-7500(19)30012-3
Hopkins, C., Williamson, E., Morris, S., Clarke, C. S., Thomas, M., Evans, H., et al. (2019). Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records. Rhinology. http://doi.org/10.4193/Rhin19.136
Rafiq, M., Hayward, A., Warren-Gash, C., Denaxas, S., Gonzalez-Izquierdo, A., Lyratzopoulos, G., & Thomas, S. (2019). Allergic disease, corticosteroid use and risk of Hodgkin\textquoterights lymphoma: A UK Nationwide case-control study. J Allergy Clin Immunol. http://doi.org/10.1016/j.jaci.2019.10.033
Dickerman, B. A., Garcia-Albeniz, X., Logan, R. W., Denaxas, S., & Hernan, M. A. (2019). Avoidable flaws in observational analyses: an application to statins and cancer. Nat Med. http://doi.org/10.1038/s41591-019-0597-x
Planell-Morell, P., Bajekal, M., Denaxas, S., Raine, R., & Alexander, D. C. (2020). Trajectories of Disease Accumulation Using Electronic Health Records. Stud Health Technol Inform. http://doi.org/10.3233/shti200204
Katsoulis, M., Pasea, L., Lai, A. G., Dobson, R. J. B., Denaxas, S., Hemingway, H., & Banerjee, A. (2020). Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study. Public Health. http://doi.org/10.1016/j.puhe.2020.12.003
Lewer, D., Padmanathan, P., Arfeen, Q. U., Denaxas, S., Forbes, H., Gonzalez-Izquierdo, A., & Hickman, M. (2020). Healthcare use by people who use illicit opioids (HUPIO): development of a cohort based on electronic primary care records in England. Wellcome Open Res. http://doi.org/10.12688/wellcomeopenres.16431.1
Banerjee, A., Pasea, L., Harris, S., Gonzalez-Izquierdo, A., Torralbo, A., Shallcross, L., et al. (2020). Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. Lancet. http://doi.org/10.1016/s0140-6736(20)30854-0