학술논문
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study
Document Type
Article
Author
Alexander, Daniel C; Asiimwe, Innocent G; Ball, Simon; Bennett, Frances; Borges, Maria Carolina; Butterworth, Adam; Chaturvedi, Nishi; Chopade, Sandesh; Clarkson, Christopher; Cox, Martin; Dale, Caroline; Denaxas, Spiros; Dunca, Diana; Engmann, Jorgen E; Fernandez-Sanles, Alba; Finan, Chris; Fitzpatrick, Natalie; Gallagher, Jean; Gonzalez-Izquierdo, Arturo; Gratton, Jasmine; Gross, Christian; Hemingway, Harry; Henry, Albert; Hidajat, Mira; Hingorani, Aroon; Hukerikar, Nikita; Jorgensen, Andrea; Joshi, Roshni; Katsoulis, Michail; Kuan, Valerie; Kumar, Rashmi; Lai, Alvina G; Langenberg, Claudia; Lawlor, Deborah; Mancini, Mary; Miller, Diane; Ogden, Margaret; Ozyigit, Eda B; Patel, Shilpa; Pirmohamed, Munir; Roberts, Amanda; Ryan, David; Schmidt, Amand F; Shah, Anoop D; Shah, Tina; Sofat, Reecha; Takhar, Rohan; Torralbo, Ana; Ullah, Ayath; Walker, Lauren E; Warwick, Alasdair; Wheeler, Eleanor; Wright, Victoria L; Wu, Honghan; Zwierzyna, Magdalena; Patalay, Praveetha; Nitsch, Dorothea; Mathur, Rohini; Partridge, Linda; Wong, Ian C K; Hingorani, Melanie; Hingorani, Aroon D
Source
In The Lancet Digital Health January 2023 5(1):e16-e27
Subject
Language
ISSN
2589-7500