The Risk Cluster in Type 2 Diabetes Mellitus Based on Risk Parameters Using Fuzzy C-Means Algorithm
The prevalence of type 2 diabetes mellitus increases every year. In the long term, type 2 diabetes mellitus can lead to complications of other diseases. This study aimed to analyze the risk cluster for type 2 diabetes mellitus based on risk parameters using the Fuzzy C-Means algorithm. The benefit o...
Main Authors: | Marhamah, Sugiyarto Surono, Endang Darmawan |
---|---|
Format: | Article |
Language: | English |
Published: |
Magister Program of Material Sciences, Graduate School of Universitas Sriwijaya
2023-01-01
|
Series: | Science and Technology Indonesia |
Subjects: | |
Online Access: | https://sciencetechindonesia.com/index.php/jsti/article/view/578/281 |
Similar Items
-
K-means and fuzzy c-means algorithm comparison on regency/city grouping in Central Java Province
by: Ummu Wachidatul Latifah, et al.
Published: (2022-08-01) -
Research on food safety prediction method based on k-means clustering algorithm
by: Wu Mengjuan, et al.
Published: (2022-01-01) -
Hybrid Fuzzy C-Means Clustering Algorithm Oriented to Big Data Realms
by: Joaquín Pérez-Ortega, et al.
Published: (2022-07-01) -
K-Means and Fuzzy based Hybrid Clustering Algorithm for WSN
by: Basavaraj M. Angadi, et al.
Published: (2023-11-01) -
Bilateral Weighted Fuzzy C-Means Clustering
by: A. H. Hadjahmadi, et al.
Published: (2012-06-01)