Predicting misdiagnosed adult-onset type 1 diabetes using machine learning

AIMS: It is now understood that almost half of newly diagnosed cases of type 1 diabetes are adult-onset. However, type 1 and type 2 diabetes are difficult to initially distinguish clinically in adults, potentially leading to ineffective care. In this study a machine learning model was developed to i...

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Detalles Bibliográficos
Autores principales: Cheheltani, Rabee, King, Nicholas, Lee, Suyin, North, Benjamin, Kovarik, Danny, Evans-Molina, Carmella, Leavitt, Nadejda, Dutta, Sanjoy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631495/
https://www.ncbi.nlm.nih.gov/pubmed/35940302
http://dx.doi.org/10.1016/j.diabres.2022.110029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631495/
https://www.ncbi.nlm.nih.gov/pubmed/35940302
http://dx.doi.org/10.1016/j.diabres.2022.110029

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