Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017

The focus of this study is the use of machine learning methods that combine feature selection and imbalanced process (SMOTE algorithm) to classify and predict diabetes follow-up control satisfaction data. After the feature selection and unbalanced process, diabetes follow-up data of the New Urban Ar...

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Detalles Bibliográficos
Autores principales: Li, Yukai, Li, Huling, Yao, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077367/
https://www.ncbi.nlm.nih.gov/pubmed/30112018
http://dx.doi.org/10.1155/2018/7207151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077367/
https://www.ncbi.nlm.nih.gov/pubmed/30112018
http://dx.doi.org/10.1155/2018/7207151

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