Kuan, V. ., Denaxas, S. ., Patalay, P. ., Nitsch, D. ., Mathur, R. ., Gonzalez-Izquierdo, A. ., … Hingorani, A. D. (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
V. Kuan
First name
V.
Last name
Kuan
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
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
Kuan, V. ., Denaxas, S. ., Izquierdo, G.-. ., Direk, K. ., Bhatti, O. ., Husain, S. ., … Hingorani, A. . (2019). A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service. The Lancet Digital Health. http://doi.org/10.1016/S2589-7500(19)30012-3
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