Integrated Fuzzy based Decision Support System for the Management of Human Disease
| Autor: | Blessing Ekong, Idara Ifiok, Ifreke Udoeka, James Anamfiok |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
medicine.medical_specialty Decision support system General Computer Science Artificial neural network Computer science Alternative medicine Fuzzy logic 03 medical and health sciences 0302 clinical medicine Human disease Risk analysis (engineering) 030220 oncology & carcinogenesis medicine 030304 developmental biology |
| Zdroj: | International Journal of Advanced Computer Science and Applications. 11 |
| ISSN: | 2156-5570 2158-107X |
| DOI: | 10.14569/ijacsa.2020.0110235 |
| Popis: | 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#. |
| Databáze: | OpenAIRE |
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