Analysis of the Association Between Vitamin D Deficiency and Other Diagnoses of Patients by Data Mining Techniques

Abstract

One of the most common disorders is vitamin D deficiency. Vitamin D deficiency in individuals with a vitamin D level of less than 20 ng / ml has been studied in previous studies, which is also associated with other diagnoses. The aim of this study was to investigate the association of vitamin D deficiency patients with other diagnoses. In this respect, a data set consisting of patients whose vitamin d levels have been measured in a public hospital for the last 3 years has been provided. Using this data set, the association rule analysis of data mining techniques was performed. Apriori algorithm was preferred in the analysis. As a result of the analysis, 22 association rules were determined and interpreted.

Keywords

• d vitamini eksikliği
• veri madenciliği
• birliktelik kuralı
• apriori algoritması
• vitamin d deficiency
• data mining
• association rule
• apriori algorithm