Using K-means Techniques for Clustering Depressed Patients in Mahasarakham Province
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This study used advanced data mining techniques to examine the patterns of depression and service use among patients in Mahasarakham Province. The focus was to understand how people with depression access and use medical services in this area. Data collected from the Mahasarakham Provincial Public Health Office were meticulously analyzed using the K-means clustering method. This analysis involved a dataset consisting of five key variables used in the clustering process. This study successfully identified six unique clusters of patients, each showing different symptoms and degrees of depression. These findings provide essential insights into the diverse manifestations of depression within Mahasarakham’s patient population, contributing valuable information for healthcare providers and policymakers to optimize service delivery and treatment approaches.
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