Applied Mathematics & Information Sciences
The objective of this review study is to assess the feasibility of data mining advanced statistical technology in applied medicine in a way each clinician and IT engineer can understand each other. We have experienced many studies using data mining with or without traditional SPSS programs in Hepatology Gastroenterology and Endoscopy. A descriptive models were generated using decision tree algorithms (Rapid I, Rapid Miner, ver.4.6, Berlin, Germany), accuracies obtained of all studies was significantly high and applicable; ? 90 %. Here we will shed light on the importance of data mining in clinical medicine, analyzing data by advanced data mining technology would discover the significant important leading factors in the applied medicine. Thus
Digital Object Identifier (DOI)
Elrazek M Aly Abd Elrazek, Abd and Elbanna, Ahmed
"Validation of Data Mining Advanced Technology in Clinical Medicine,"
Applied Mathematics & Information Sciences: Vol. 10:
4, Article 43.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol10/iss4/43