Integrated Thallassaemia decision support system

Authors:
Rached Omer Agwil;Divya Prakash Shrivastava
Affiliations:
Department of Computer Science, Science College, Tegi, El Gabel Al Garbi University, Gharyan, Libya;Department of Computer Science, College of Medical Technology, Nalut, El Gabel Al Garbi University, Gharyan, Libya
Venue:
MAMECTIS'10 Proceedings of the 12th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
Year:
2010

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Abstract

Thalassaemia is a genetic blood disorder where the blood cells are unable to carry sufficient oxygen supply for the organs. The Thalassaemia has a distribution concomitant with areas where P. Falciparum malaria is common. The alpha Thalassaemia is concentrated in Southeast Asia, Malaysia, and southern China. The beta Thalassaemia is seen primarily in the areas surrounding Mediterranean Sea, Africa and Southeast Asia. Due to global migration patterns, there has been an increase in the incidence of Thalassaemia in North America in the last ten years, primarily due to immigration from Southeast Asia (The Reader's Digest, 1989). The increment of the cases forces the government hospital to have an alternative method in diagnosing Thalassaemia than only depend on the Hematologist. Case-Based Reasoning is a subset of an Artificial Intelligence technique utilizes the specific knowledge of previous experiences to solve new problems by remembering previous similar cases. It is highly suitable for medical domain. Hence, this work provides model that demonstrates how Thalassaemia can be diagnosed via Integrated Thalassaemia Decision Support System (ITDSS).