Identifying patients at increased risk of hypoglycaemia in primary care: Development of a machine learning‐based screening tool

INTRODUCTION: In primary care, identifying patients with type 2 diabetes (T2D) who are at increased risk of hypoglycaemia is important for the prevention of hypoglycaemic events. We aimed to develop a screening tool based on machine learning to identify such patients using routinely available demogr...

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Detalles Bibliográficos
Autores principales: Crutzen, Stijn, Belur Nagaraj, Sunil, Taxis, Katja, Denig, Petra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518928/
https://www.ncbi.nlm.nih.gov/pubmed/33289318
http://dx.doi.org/10.1002/dmrr.3426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518928/
https://www.ncbi.nlm.nih.gov/pubmed/33289318
http://dx.doi.org/10.1002/dmrr.3426

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