Decision Tree Application for Renal Calculi Diagnosis

Murat Topaloğlu [1] , Gözde MALKOÇ [2]


Data mining is used for the extraction of secret, valuable and usable data from the big data and to provide strategic decision support. It created a new perspective for the use of the data in healthcare in addition to finding the answers of unexplored questions. It has gained wider usage as a method. The aim of this study is to develop a decision tree and a list of rules by data mining for the early diagnosis of renal calculi. A data set including blind and retrospective data for 150 people can diagnose with 6 attributes. A decision support system analysis was developed for the diagnosis of the patients with suspected renal calculi. Based on the results obtained and the analysis developed, a decision tree and list of rules were created to determine the factors that affect renal calculi. Weka program and J48 algorithm were used to create the decision tree and the list of rules and it was found to be 74.63% successful.

Data Mining, Decision Tree, Renal Calculi Diagnosis
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Subjects Engineering
Journal Section Research Article
Authors

Author: Murat Topaloğlu
Institution: TRAKYA ÜNİVERSİTESİ
Country: Turkey


Author: Gözde MALKOÇ
Institution: TRAKYA ÜNİVERSİTESİ

Dates

Publication Date : December 1, 2016

Bibtex @research article { ijamec281134, journal = {International Journal of Applied Mathematics Electronics and Computers}, issn = {}, eissn = {2147-8228}, address = {}, publisher = {Selcuk University}, year = {2016}, volume = {}, pages = {404 - 407}, doi = {10.18100/ijamec.281134}, title = {Decision Tree Application for Renal Calculi Diagnosis}, key = {cite}, author = {Topaloğlu, Murat and MALKOÇ, Gözde} }
APA Topaloğlu, M , MALKOÇ, G . (2016). Decision Tree Application for Renal Calculi Diagnosis. International Journal of Applied Mathematics Electronics and Computers , (Special Issue-1) , 404-407 . DOI: 10.18100/ijamec.281134
MLA Topaloğlu, M , MALKOÇ, G . "Decision Tree Application for Renal Calculi Diagnosis". International Journal of Applied Mathematics Electronics and Computers (2016 ): 404-407 <https://dergipark.org.tr/en/pub/ijamec/issue/25619/281134>
Chicago Topaloğlu, M , MALKOÇ, G . "Decision Tree Application for Renal Calculi Diagnosis". International Journal of Applied Mathematics Electronics and Computers (2016 ): 404-407
RIS TY - JOUR T1 - Decision Tree Application for Renal Calculi Diagnosis AU - Murat Topaloğlu , Gözde MALKOÇ Y1 - 2016 PY - 2016 N1 - doi: 10.18100/ijamec.281134 DO - 10.18100/ijamec.281134 T2 - International Journal of Applied Mathematics Electronics and Computers JF - Journal JO - JOR SP - 404 EP - 407 VL - IS - Special Issue-1 SN - -2147-8228 M3 - doi: 10.18100/ijamec.281134 UR - https://doi.org/10.18100/ijamec.281134 Y2 - 2016 ER -
EndNote %0 International Journal of Applied Mathematics Electronics and Computers Decision Tree Application for Renal Calculi Diagnosis %A Murat Topaloğlu , Gözde MALKOÇ %T Decision Tree Application for Renal Calculi Diagnosis %D 2016 %J International Journal of Applied Mathematics Electronics and Computers %P -2147-8228 %V %N Special Issue-1 %R doi: 10.18100/ijamec.281134 %U 10.18100/ijamec.281134
ISNAD Topaloğlu, Murat , MALKOÇ, Gözde . "Decision Tree Application for Renal Calculi Diagnosis". International Journal of Applied Mathematics Electronics and Computers / Special Issue-1 (December 2016): 404-407 . https://doi.org/10.18100/ijamec.281134
AMA Topaloğlu M , MALKOÇ G . Decision Tree Application for Renal Calculi Diagnosis. International Journal of Applied Mathematics Electronics and Computers. 2016; (Special Issue-1): 404-407.
Vancouver Topaloğlu M , MALKOÇ G . Decision Tree Application for Renal Calculi Diagnosis. International Journal of Applied Mathematics Electronics and Computers. 2016; (Special Issue-1): 407-404.