Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study
Valerie Kuan(University College London), Diane B. Miller(Unknown), Rohini Mathur(London School of Hygiene & Tropical Medicine), Diana Dunca(Queen Mary University of London), Nikita Hukerikar, Martin J. Cox, Caroline Dale(University of London), Daniel C. Alexander(Hawassa University), Mary E. Mancini(University of Oxford), Simon Ball(Queen Elizabeth Hospital Birmingham), Christian Groß(University of Tübingen), Maria Carolina Borges(University of Bristol), Reecha Sofat(University College London), Melanie Hingorani(Institute of Ophthalmology), Praveetha Patalay(University of Liverpool), Claudia Langenberg(Berlin Institute of Health at Charité - Universitätsmedizin Berlin), Mira Hidajat(University of Bristol), Alvina G. Lai(Health Data Research UK), Linda Partridge(MRC Unit for Lifelong Health and Ageing), Roshni Joshi(University College London), Frances Bennett, Jasmine Gratton(University College London), Michail Katsoulis(University College London), Jorgen E Engmann, Spiros Denaxas(University College London), Rashmi Kumar(University of London), Ian Chi Kei Wong(Blacktown & Mount Druitt Hospital), Aroon D. Hingorani(University College London Hospitals NHS Foundation Trust), Innocent G. Asiimwe(University of Liverpool), Chris Finan(British Heart Foundation), Amanda Roberts, Sandesh Chopade(University College London), Arturo González-Izquierdo(Health Data Research UK), Nish Chaturvedi(Imperial College London), Alba Fernández‐Sanlés, Adam S. Butterworth(University of Cambridge), Harry Hemingway(Health Data Research UK), Jean W. Gallagher, Andrea Jorgensen(University of Liverpool), Natalie Fitzpatrick(University College London), Albert Henry(University College London), Christopher Clarkson, Dorothea Nitsch(London School of Hygiene & Tropical Medicine)
Cited by 189
Related Papers
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
|Nature Genetics|2018|2.9k
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
|BMJ|2024|2.8k
Genomic atlas of the human plasma proteome
|Nature|2018|2.4k
Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes
|Nature Genetics|2018|1.7k
SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
|European Heart Journal|2021|1.7k