An analysis on the impact of fluoride in human health (dental) using clustering data mining technique

Clustering Algorithm for a Healthcare Dataset Using Silhouette Score Value

“…Euclidean distance metric was used to determine both inter-cluster separation and intracluster cohesion. Based on the analysis, K value of two(2) gave the highest silhouette score which shows that to get optimized cluster of the dataset using K-means algorithm, the appropriate value of K is two (2). Figure 2 shows different values of K and their corresponding silhouette score value.…”

“…They argued that their algorithm can handle both continuous and discrete data. Balasubbramanian and Umarari [2], analysed the effect of ground water on human health using clustering method. They used K-Means clustering algorithm to find out the risk factors related to the level of fluoride content in water.…”

Taxonomy on Healthcare System Based on Machine Learning Approaches: Tuberculosis Disease Diagnosis

“…Escudero et al applied k-Means method for the classification of data features of Alzheimer syndrome into pathological and non-pathological categories [77]. Balasubramanian et al used clustering method to examine the influence of ground water on human health [78].…”

An Overview on the Use of Data Mining and Linguistics Techniques for Building Microblog-Based Early Detection Systems in the Healthcare Sector

“…K-means clustering has been used to classify the Alzheimer's disease data feature into pathologic and non-pathologic groups which were used for early detection of Alzheimer's disease [44]. In [45], [46] and [47] more uses of partitioned clustering in healthcare sector can be found.…”