A New Decision Tree Method for Data Mining in Medicine
Advanced Computational Intelligence: An International Journal (ACII), 2 (3):
7 (July 2015)DOI: 10.5121/acii.2015.2304
Abstract
Today, enormous amount of data is collected in medical databases. These databases may contain valuable
information encapsulated in nontrivial relationships among symptoms and diagnoses. Extracting such
dependencies from historical data is much easier to done by using medical systems. Such knowledge can be
used in future medical decision making. In this paper, a new algorithm based on C4.5 to mind data for
medince applications proposed and then it is evaluated against two datasets and C4.5 algorithm in terms of
accuracy.