Real-Data Comparison of Data Mining Methods in Prediction of Diabetes in Iran

OBJECTIVES: Diabetes is one of the most common non-communicable diseases in developing countries. Early screening and diagnosis play an important role in effective prevention strategies. This study compared two traditional classification methods (logistic regression and Fisher linear discriminant an...

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Detalles Bibliográficos
Autores principales: Tapak, Lily, Mahjub, Hossein, Hamidi, Omid, Poorolajal, Jalal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2013
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3810525/
https://www.ncbi.nlm.nih.gov/pubmed/24175116
http://dx.doi.org/10.4258/hir.2013.19.3.177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3810525/
https://www.ncbi.nlm.nih.gov/pubmed/24175116
http://dx.doi.org/10.4258/hir.2013.19.3.177

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