Validation of Data Mining Advanced Technology in Clinical Medicine

Authors

Abd Elrazek M Aly Abd Elrazek, Department of Hepatology & Gastroenterology, Aswan school of Medicine, Aswan University, Aswan, Egypt.Follow
Ahmed Elbanna, Department of Computer Science and Technology TU Chemnitz, Germany.Follow

Author Country (or Countries)

Egypt.

Abstract

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)

http://dx.doi.org/10.18576/amis/100443

Recommended Citation

Elrazek M Aly Abd Elrazek, Abd and Elbanna, Ahmed (2016) "Validation of Data Mining Advanced Technology in Clinical Medicine," Applied Mathematics & Information Sciences: Vol. 10: Iss. 4, Article 43.
DOI: http://dx.doi.org/10.18576/amis/100443
Available at: https://digitalcommons.aaru.edu.jo/amis/vol10/iss4/43