Machine learning for prediction of diabetes risk in middle-aged Swedish people

AIMS: To study if machine learning methodology can be used to detect persons with increased type 2 diabetes or prediabetes risk among people without known abnormal glucose regulation. METHODS: Machine learning and interpretable machine learning models were applied on research data from Stockholm Dia...

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Detalles Bibliográficos
Autores principales: Lama, Lara, Wilhelmsson, Oskar, Norlander, Erik, Gustafsson, Lars, Lager, Anton, Tynelius, Per, Wärvik, Lars, Östenson, Claes-Göran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282976/
https://www.ncbi.nlm.nih.gov/pubmed/34296003
http://dx.doi.org/10.1016/j.heliyon.2021.e07419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282976/
https://www.ncbi.nlm.nih.gov/pubmed/34296003
http://dx.doi.org/10.1016/j.heliyon.2021.e07419

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