Predicting diabetes clinical outcomes using longitudinal risk factor trajectories

BACKGROUND: The ubiquity of electronic health records (EHR) offers an opportunity to observe trajectories of laboratory results and vital signs over long periods of time. This study assessed the value of risk factor trajectories available in the electronic health record to predict incident type 2 di...

Descripción completa

Detalles Bibliográficos
Autores principales: Simon, Gyorgy J., Peterson, Kevin A., Castro, M. Regina, Steinbach, Michael S., Kumar, Vipin, Caraballo, Pedro J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950847/
https://www.ncbi.nlm.nih.gov/pubmed/31914992
http://dx.doi.org/10.1186/s12911-019-1009-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950847/
https://www.ncbi.nlm.nih.gov/pubmed/31914992
http://dx.doi.org/10.1186/s12911-019-1009-3

Ejemplares similares