(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
. S. Denaxas
First name
S.
Last name
Denaxas
(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
. (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
. (2019). Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records. Rhinology. http://doi.org/10.4193/Rhin19.136
. (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
. (2019). Avoidable flaws in observational analyses: an application to statins and cancer. Nat Med. http://doi.org/10.1038/s41591-019-0597-x
. (2020). Trajectories of Disease Accumulation Using Electronic Health Records. Stud Health Technol Inform. http://doi.org/10.3233/shti200204
. (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
. (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
. (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
.