Sakarya University Journal of Computer and Information Sciences

Sakarya University Journal of Computer and Information Sciences

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

Yazarlar: Buket KAYA, Abdullah GÜNAY, Osman ÖZÜDOĞRU

Cilt 3 , Sayı 1 , 2020 , Sayfalar 51 - 59

Konular:Bilgisayar Bilimleri, Yapay Zeka

DOI:10.35377/saucis.03.01.677676

Anahtar Kelimeler:Vitamin D Deficiency,Data Mining,Association Rule,Apriori Algorithm

Özet: 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.

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@article{2020, title={Analysis of the Association Between Vitamin D Deficiency and Other Diagnoses of Patients by Data Mining Techniques}, volume={3}, number={51–59}, publisher={Sakarya University Journal of Computer and Information Sciences}, author={Buket KAYA,Abdullah GÜNAY,Osman ÖZÜDOĞRU}, year={2020} }
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Buket KAYA,Abdullah GÜNAY,Osman ÖZÜDOĞRU. (2020). Analysis of the Association Between Vitamin D Deficiency and Other Diagnoses of Patients by Data Mining Techniques (Vol. 3). Vol. 3. Sakarya University Journal of Computer and Information Sciences.
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Buket KAYA,Abdullah GÜNAY,Osman ÖZÜDOĞRU. Analysis of the Association Between Vitamin D Deficiency and Other Diagnoses of Patients by Data Mining Techniques. no. 51–59, Sakarya University Journal of Computer and Information Sciences, 2020.
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