An Ontology-Based System for Cancer Diseases Knowledge Management

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Author(s)

Marco Alfonse 1,* Mostafa M. Aref 1 Abdel-Badeeh M. Salem 1

1. Computer Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

* Corresponding author.

DOI: https://doi.org/10.5815/ijieeb.2014.06.07

Received: 5 Aug. 2014 / Revised: 16 Sep. 2014 / Accepted: 6 Nov. 2014 / Published: 8 Dec. 2014

Index Terms

Cancer Informatics, Ontology, Medical Informatics, Machine Learning, Computer Aided Diagnosis (CAD), Knowledge Engineering

Abstract

Cancer is a class of diseases characterized by out-of-control cell growth. There are over 200 different types of cancer, and each is classified by the type of cell that is initially affected. This paper discusses the technical aspects of some of the ontology-based medical systems for cancer diseases. It also proposes an ontology based system for cancer diseases knowledge management. The system can be used to help patients, students and physicians to decide what cancer type the patient has, what is the stage of the cancer and how it can be treated. The system performance and accuracy are acceptable, with a cancer diseases classification accuracy of 92%.

Cite This Paper

Marco Alfonse, Mostafa M. Aref, Abdel-Badeeh M. Salem, "An Ontology-Based System for Cancer Diseases Knowledge Management", International Journal of Information Engineering and Electronic Business(IJIEEB), vol.6, no.6, pp.55-63, 2014. DOI:10.5815/ijieeb.2014.06.07

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