The Use of Decision Trees for Analysis of the Epilepsy
Daniela Gîfu · Procedia Computer Science · 2021
Due to the rapid development of artificial intelligence (AI) technologies, the medical system knows a permanent improvement in the doctor-patient relationship that has undergone a long and unproductive transition throughout the ages. Nowadays, the smart systems focused on how to obtain an accurate and detailed medication history for each patient. The purpose of this paper was to develop a method that can produce a disease profile based on the decision trees algorithm, taking into account medical reports made along years for different patients from all over the world. It is well known that in the medical decision making there are many situations where decision must be made rapidly, rigorously and efficiently. In the paper we present the basic characteristics of decision trees and the successful alternatives to the traditional induction approach with the emphasis on existing and possible future applications in biomedicine domain.