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
R. Lumbers
First name
R.
Middle name
T.
Last name
Lumbers
Denaxas, S. ., Gonzalez-Izquierdo, A. ., Direk, K. ., Fitzpatrick, N. K., Fatemifar, G. ., Banerjee, A. ., … Hemingway, H. . (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
Papez, V. ., Moinat, M. ., Payralbe, S. ., Asselbergs, F. W., Lumbers, R. T., Hemingway, H. ., … Denaxas, S. . (2021). Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure. JAMIA Open. http://doi.org/10.1093/jamiaopen/ooab001
Katsoulis, M. ., Lai, A. G., Diaz-Ordaz, K. ., Gomes, M. ., Pasea, L. ., Banerjee, A. ., … Hemingway, H. . (2021). Identifying adults at high-risk for change in weight and BMI in England: a longitudinal, large-scale, population-based cohort study using electronic health records. Lancet Diabetes Endocrinol. http://doi.org/10.1016/s2213-8587(21)00207-2
Kuan, V. ., Fraser, H. C., Hingorani, M. ., Denaxas, S. ., Gonzalez-Izquierdo, A. ., Direk, K. ., … Hingorani, A. D. (2021). Data-driven identification of ageing-related diseases from electronic health records. Sci Rep. http://doi.org/10.1038/s41598-021-82459-y