A. Hingorani

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Kuan, V., Denaxas, S., Patalay, P., Nitsch, D., Mathur, R., Gonzalez-Izquierdo, A., et al. (2022). Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study. Lancet Digit Health. http://doi.org/10.1016/s2589-7500(22)00187-x
Rapsomaniki, E., Shah, A., Perel, P., Denaxas, S., George, J., Nicholas, O., et al. (2014). Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients. Eur Heart J, 35, 844-52. http://doi.org/10.1093/eurheartj/eht533
Grosso, A., Douglas, I., Hingorani, A. D., MacAllister, R., Hubbard, R., & Smeeth, L. (2009). Inhaled tiotropium bromide and risk of stroke. Br J Clin Pharmacol. http://doi.org/10.1111/j.1365-2125.2009.03517.x
Shah, A. D., Nicholas, O., Timmis, A. D., Feder, G., Abrams, K. R., Chen, R., et al. (2011). Threshold haemoglobin levels and the prognosis of stable coronary disease: two new cohorts and a systematic review and meta-analysis. PLoS Med. http://doi.org/10.1371/journal.pmed.1000439
Douglas, I. J., Evans, S. J., Hingorani, A. D., Grosso, A. M., Timmis, A., Hemingway, H., & Smeeth, L. (2012). Clopidogrel and interaction with proton pump inhibitors: comparison between cohort and within person study designs. Bmj. http://doi.org/10.1136/bmj.e4388
Denaxas, S. C., George, J., Herrett, E., Shah, A. D., Kalra, D., Hingorani, A. D., et al. (2012). Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER). Int J Epidemiol. http://doi.org/10.1093/ije/dys188
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
Kuan, V., Fraser, H. C., Hingorani, M., Denaxas, S., Gonzalez-Izquierdo, A., Direk, K., et al. (2021). Data-driven identification of ageing-related diseases from electronic health records. Sci Rep. http://doi.org/10.1038/s41598-021-82459-y