A. Shah

First name
A.
Middle name
D.
Last name
Shah
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
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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
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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
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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
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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
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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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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
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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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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
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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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