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IJSTR >> Volume 10 - Issue 2, February 2021 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Data-Driven Typhoid Fever Modelling And Computer Simulation

[Full Text]



Bushra Sultan, Haroon Ur Rashid Kayani, Fatma Hussain, Hafiz Burhan ul Haq



Salmonella, Decision Support System, artificial intelligence, fuzzy logic, Centroid of Area (CoA), Acquired Immune Deficiency Syndrome (AIDS), Elman recurrent neural networks .



Typhoid fever is caused by Salmonella enteric subspecies 1 serotype typhi. It is difficult to diagnose properly typhoid fever because it involves many variables. Although many medicines are available for the cure of typhoid fever but still a high mortality rate is recorded due to typhoid fever. Many variables are involved in the analysis and documentation of this disease. It becomes more difficult by the uncertainty linked with these variables. If the diagnosis of a disease is accurate then the effectiveness of the treatment will be high, these complications require new advanced techniques and computer tools can be used to manage, store and to achieve the correct medical information which is required by the physicians. These tools suggest timely and accurate diagnosis, prognosis and beneficial decisions. Simulated brainpower is a component of Computer Science that makes computers quick and more efficient. Computer Aided Decision Support System (DSS) is more important as it provide assistance as a server to the physicians in the medical domain by simulating expert human reasoning. For a physician in the medical domain diagnosis, classification and treatment of the disease are the major tasks. In Artificial Intelligence (AI) research the development of system with these objectives is of more interest. More than one AI methods and technique are combined with developed clinical decision support system to complete such multipurpose tasks.



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