Type 1 Diabetes Risk Phenotypes Using Cluster Analysis

BACKGROUND: Although statistical models for predicting type 1 diabetes risk have been developed, approaches that reveal clinically meaningful clusters in the at-risk population and allow for non-linear relationships between predictors are lacking. We aimed to identify and characterize clusters of is...

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Detalles Bibliográficos
Autores principales: You, Lu, Ferrat, Lauric A., Oram, Richard A., Parikh, Hemang M., Steck, Andrea K., Krischer, Jeffrey, Redondo, Maria J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593014/
https://www.ncbi.nlm.nih.gov/pubmed/37873281
http://dx.doi.org/10.1101/2023.10.10.23296375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593014/
https://www.ncbi.nlm.nih.gov/pubmed/37873281
http://dx.doi.org/10.1101/2023.10.10.23296375

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