Cek Similarity The Risk Cluster in Type 2 Diabetes Mellitus Based on Risk Parameters Using Fuzzy C-Means Algorithm

marhamah, marhamah and Surono, Sugiyarto and Darmawan, Endang (2023) Cek Similarity The Risk Cluster in Type 2 Diabetes Mellitus Based on Risk Parameters Using Fuzzy C-Means Algorithm. Science and Technology Indonesia, 8 (1). ISSN e-ISSN:2580-4391p-ISSN:2580-4405

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Abstract

The prevalence of type 2 diabetes mellitus increases every year. In the long term, type 2 diabetes mellitus can lead to complicationsof other diseases. This study aimed to analyze the risk cluster for type 2 diabetes mellitus based on risk parameters using the FuzzyC-Means algorithm. The benefit of analyzing the risk cluster as an initial screening to prevent the occurrence of type 2 diabetesmellitus. This study used 905 subjects’ data consisting of 562 males and 343 females. After the data preprocessing, the optimalnumber of clusters was determined using a Fuzzy C-Means algorithm process. Subsequently, the Pearson correlation test wasconducted to determine the correlation between the risk parameters of type 2 diabetes mellitus and the cluster results. The studyresulted in 2 risk clusters, subjects in cluster 1 were older than 60 years (34.1%), had a family history of type 2 diabetes mellitus(62.7%), had hypertension (55.4%), routinely took medicines (73.5%), undertook physical activity for less than half an hour (40.5%),and had a high blood pressure level (53.5%). The Pearson correlation test found that age, regular medication use, hypertension andblood pressure level all seem to have significant correlations with cluster outcomes. The risk cluster of type 2 diabetes mellitus wasseparated into two clusters using Fuzzy C-Means algorithm, namely the high-risk cluster and the low-risk cluster.

Item Type:	Artikel Umum
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics R Medicine > RS Pharmacy and materia medica
Divisi / Prodi:	Faculty of Applied Science and Technology (Fakultas Sains Dan Teknologi Terapan) > S1-Mathematics (S1-Matematika)
Depositing User:	Dr Sugiyarto Surono
Date Deposited:	16 Jun 2023 03:35
Last Modified:	16 Jun 2023 03:35
URI:	http://eprints.uad.ac.id/id/eprint/43408

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