A. Shah

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Elkheder, M., Gonzalez-Izquierdo, A., Arfeen, Q. U., Kuan, V., Lumbers, R. T., Denaxas, S., & Shah, A. D. (2022). Translating and evaluating historic phenotyping algorithms using SNOMED CT. J Am Med Inform Assoc. http://doi.org/10.1093/jamia/ocac158
Subramanian, A., Nirantharakumar, K., Hughes, S., Myles, P., Williams, T., Gokhale, K. M., et al. (2022). Symptoms and risk factors for long COVID in non-hospitalized adults. Nat Med. http://doi.org/10.1038/s41591-022-01909-w
Shah, A. D., & Martinez, C. (2006). An algorithm to derive a numerical daily dose from unstructured text dosage instructions. Pharmacoepidemiol Drug Saf. http://doi.org/10.1002/pds.1151
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
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
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
Shah, A. D., Martinez, C., & Hemingway, H. (2012). The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records. BMC Med Inform Decis Mak. http://doi.org/10.1186/1472-6947-12-88
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
Asaria, M., Walker, S., Palmer, S., Gale, C. P., Shah, A. D., Abrams, K. R., et al. (2016). Using electronic health records to predict costs and outcomes in stable coronary artery disease. Heart. http://doi.org/10.1136/heartjnl-2015-308850
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