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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Veröffentlicht in:BMC Med Inform Decis Mak
Hauptverfasser: Metsker, Oleg, Magoev, Kirill, Yakovlev, Alexey, Yanishevskiy, Stanislav, Kopanitsa, Georgy, Kovalchuk, Sergey, Krzhizhanovskaya, Valeria V.
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2020
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7444272/
https://ncbi.nlm.nih.gov/pubmed/32831065
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-01215-w
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