Abstract
To eliminate some of the inaccuracies in the diagnosis of human diseases, decision support systems based on algorithms and technologies such as Artificial Neural Network, Fuzzy Logic etc. have been used. The results of such diagnosis are used for treatment and management purposes. Inaccurate and imprecise diagnosis may lead to wrong treatment methods which in turn may result in death or complications. Although treatments are widely carried out using drugs, there exist other treatment methods such as alternative medicine, complimentary medicine which could be used for treatment. We propose an Integrated Fuzzy Based Decision Support System which focuses on the integration of both alternative and pure medicine for the management of malaria. The results obtained showed that integrating these two treatment and management methods will eliminate the limitations of the individual methods therefore bridging the gap between alternative and pure medicine in the treatment and management of human diseases. The system is implemented in C#.
Highlights
Inaccuracies and imprecision in the conventional method of diagnosis, treatment and management of human diseases, recent trends in technology and the demand to stay relevant in today’s competitive world of Information Technology have compelled many in the medical field to adopt the computer- based method of diagnosis, treatment and management of diseases
Fuzzy Logic (FL) is a form of manyvalued logic or probabilistic logic; it deals with reasoning that www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol 11, No 2, 2020 is approximate instead of fixed and exact [6]
Some of the drugs used for the treatment of malaria may be taken for prevention, Malaria could be prevented in the following ways; Medication: This involves the use of drugs such as doxycycline, chloroquine, etc. for the prevention of malaria
Summary
Inaccuracies and imprecision in the conventional method of diagnosis, treatment and management of human diseases (e.g. malaria), recent trends in technology and the demand to stay relevant in today’s competitive world of Information Technology have compelled many in the medical field to adopt the computer- based method of diagnosis, treatment and management of diseases Such systems operate on the principles of Artificial Intelligence (AI) [1] and are developed for both diagnosis and treatment of diseases. The intelligence of such system is based on the result of an interactive decision process that uses facts and rules to solve real life problems [2], based on knowledge obtained from one or more human expert in specific areas. Management in the context of this work involves preventive measures such as anti-malaria drugs, changes in lifestyle such as the use of mosquito nets for the prevention or control of diseases
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