A multi-class classification model for supporting the diagnosis of type II diabetes mellitus

BACKGROUND: Numerous studies have utilized machine-learning techniques to predict the early onset of type 2 diabetes mellitus. However, fewer studies have been conducted to predict an appropriate diagnosis code for the type 2 diabetes mellitus condition. Further, ensemble techniques such as bagging...

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Detalles Bibliográficos
Autores principales: Kuo, Kuang-Ming, Talley, Paul, Kao, YuHsi, Huang, Chi Hsien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Diabetes and Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487151/
https://www.ncbi.nlm.nih.gov/pubmed/32974105
http://dx.doi.org/10.7717/peerj.9920

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487151/
https://www.ncbi.nlm.nih.gov/pubmed/32974105
http://dx.doi.org/10.7717/peerj.9920

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