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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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