S. Denaxas

First name
S.
Last name
Denaxas
Wang, Z., Shah, A. D., Tate, A. R., Denaxas, S., Shawe-Taylor, J., & Hemingway, H. (2012). Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning. PLoS One. http://doi.org/10.1371/journal.pone.0030412
Warren-Gash, C., Hayward, A. C., Hemingway, H., Denaxas, S., Thomas, S. L., Timmis, A. D., et al. (2012). Influenza infection and risk of acute myocardial infarction in England and Wales: a CALIBER self-controlled case series study. J Infect Dis. http://doi.org/10.1093/infdis/jis597
Herrett, E., George, J., Denaxas, S., Bhaskaran, K., Timmis, A., Hemingway, H., & Smeeth, L. (2013). Type and timing of heralding in ST-elevation and non-ST-elevation myocardial infarction: an analysis of prospectively collected electronic healthcare records linked to the national registry of acute coronary syndromes. Eur Heart J Acute Cardiovasc Care. http://doi.org/10.1177/2048872613487495
Herrett, E., Shah, A. D., Boggon, R., Denaxas, S., Smeeth, L., Van Staa, T., et al. (2013). Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study. Bmj. http://doi.org/10.1136/bmj.f2350
Daskalopoulou, M., George, J., Walters, K., Osborn, D. P., Batty, G. D., Stogiannis, D., et al. (2016). Depression as a Risk Factor for the Initial Presentation of Twelve Cardiac, Cerebrovascular, and Peripheral Arterial Diseases: Data Linkage Study of 1.9 Million Women and Men. PLoS One. http://doi.org/10.1371/journal.pone.0153838
Jordan, K. P., Timmis, A., Croft, P., van der Windt, D. A., Denaxas, S., Gonzalez-Izquierdo, A., et al. (2017). Prognosis of undiagnosed chest pain: linked electronic health record cohort study. Bmj. http://doi.org/10.1136/bmj.j1194
Gho, J., Schmidt, A. F., Pasea, L., Koudstaal, S., Pujades-Rodriguez, M., Denaxas, S., et al. (2018). An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors. BMJ Open. http://doi.org/10.1136/bmjopen-2017-018331
Archangelidi, O., Pujades-Rodriguez, M., Timmis, A., Jouven, X., Denaxas, S., & Hemingway, H. (2018). Clinically recorded heart rate and incidence of 12 coronary, cardiac, cerebrovascular and peripheral arterial diseases in 233,970 men and women: A linked electronic health record study. Eur J Prev Cardiol. http://doi.org/10.1177/2047487318785228
Denaxas, S., Gonzalez-Izquierdo, A., Direk, K., Fitzpatrick, N. K., Fatemifar, G., Banerjee, A., et al. (2019). UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J Am Med Inform Assoc. http://doi.org/10.1093/jamia/ocz105
Uijl, A., Koudstaal, S., Direk, K., Denaxas, S., Groenwold, R. H. H., Banerjee, A., et al. (2019). Risk factors for incident heart failure in age- and sex-specific strata: a population-based cohort using linked electronic health records. Eur J Heart Fail. http://doi.org/10.1002/ejhf.1350