A platform for phenotyping disease progression and associated longitudinal risk factors in large-scale EHRs, with application to incident diabetes complications in the UK Biobank

OBJECTIVE: Modern healthcare data reflect massive multi-level and multi-scale information collected over many years. The majority of the existing phenotyping algorithms use case–control definitions of disease. This paper aims to study the time to disease onset and progression and identify the time-v...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Do Hyun, Jensen, Aubrey, Jones, Kelly, Raghavan, Sridharan, Phillips, Lawrence S, Hung, Adriana, Sun, Yan V, Li, Gang, Reaven, Peter, Zhou, Hua, Zhou, Jin J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912368/
https://www.ncbi.nlm.nih.gov/pubmed/36789288
http://dx.doi.org/10.1093/jamiaopen/ooad006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912368/
https://www.ncbi.nlm.nih.gov/pubmed/36789288
http://dx.doi.org/10.1093/jamiaopen/ooad006

Ejemplares similares