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PROJECT TOPIC:  DECISION SUPPORT SYSTEM FOR THE DIAGNOSIS OF EBOLA VIRUS DISEASE USING NERO FUSSY MODEL
Department:  Computer Science
AMOUNT:  20,000
FORMAT:   MS WORD
PAGES:  96
 
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Statement of problem

ANN was developed after getting the inspiration from biological neurons. There are various diseases that are still needed to be diagnosed. Among many other critical diseases like cancer, thyroid disorder, diabetes, heart diseases, neuro diseases, asthma disease was also tried to bediagnosed effectively with various ANN mechanisms by different researchers. Due to various uncertainties about symptoms the study of Neuro-Fuzzy technique in this context became very popular in last few years. Neuro-Fuzzy now-a-days is one of the most advanced technique that is mainly concatenation of two model-neural networks and the fuzzy logic. In this model various parameters are used that are much crucial if ill-chosen and may led to failure of the whole system. Recent trend in analysis is following this model for advanced expert work. In this study an enhanced Neuro-fuzzy model has been proposed for the proper diagnosis of Ebola virus disease and to foster the proper aid or medication to the patients and make physicians alert for the upcoming disease pattern otherwise they may lack in the process of providing improper medication at right time.

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