Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study

BACKGROUND: Methods of data mining and analytics can be efficiently applied in medicine to develop models that use patient-specific data to predict the development of diabetic polyneuropathy. However, there is room for improvement in the accuracy of predictive models. Existing studies of diabetes po...

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Detalles Bibliográficos
Autores principales: Metsker, Oleg, Magoev, Kirill, Yakovlev, Alexey, Yanishevskiy, Stanislav, Kopanitsa, Georgy, Kovalchuk, Sergey, Krzhizhanovskaya, Valeria V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444272/
https://www.ncbi.nlm.nih.gov/pubmed/32831065
http://dx.doi.org/10.1186/s12911-020-01215-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444272/
https://www.ncbi.nlm.nih.gov/pubmed/32831065
http://dx.doi.org/10.1186/s12911-020-01215-w

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