Combinatorial K-Means Clustering as a Machine Learning Tool Applied to Diabetes Mellitus Type 2

A new original procedure based on k-means clustering is designed to find the most appropriate clinical variables able to efficiently separate into groups similar patients diagnosed with diabetes mellitus type 2 (DMT2) and underlying diseases (arterial hypertonia (AH), ischemic heart disease (CHD), d...

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Detalles Bibliográficos
Autores principales: Nedyalkova, Miroslava, Madurga, Sergio, Simeonov, Vasil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922378/
https://www.ncbi.nlm.nih.gov/pubmed/33671157
http://dx.doi.org/10.3390/ijerph18041919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922378/
https://www.ncbi.nlm.nih.gov/pubmed/33671157
http://dx.doi.org/10.3390/ijerph18041919

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