Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/1803
Title: On the Use of Decision Tree for Treatment Options in Medical Decision
Authors: Mamman, Joseph Ndagatsa
Abdullahi, Muhammad Bashir
Alhassan, J. K.
Adepoju, Solomon A
Keywords: Machine learning, Decision Tree, Decision making, Surgery, Medical Management, Average Life Year.
Issue Date: 2015
Publisher: International Journal of Advanced Research in Computer Science and Software Engineering
Citation: www.ijarcsse.com
Series/Report no.: Volume 5 Number 2;
Abstract: Decision making is becoming more complex and stressful for individuals and groups especially for medical professionals as a result of huge quantity of data. This paper is on the use of decision tree for treatment options in medical decision support systems. Decision tree was developed and an algorithm to identify optimal choice among complicated options in Surgery (Medical Operation) and Medical management (Drug Prescription) by calculating probabilities of events and incorporating patient evaluations of possible outcomes based on Average Life Year (ALY). This can help the medical professionals in taking decision among the available choices.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1803
ISSN: 2277 128X
Appears in Collections:Computer Science

Files in This Item:
File Description SizeFormat 
On the use of Decision tree .pdf47.24 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.