Fuzzy Based Automated System For Predicting Viral Infections

1505 WordsNov 23, 20167 Pages
Fuzzy based Automated System for Predicting Viral Infections(Chicken Pox, Swine Flu and Dengue) Ravinkal Kaur Dept. of computer science and engineering CTITR Jalandhar, India ravinkal93@gmail.com Sarabjit Kaur Assistant Professor Dept. of computer science and engineering CTITR Jalandhar, India er_sarabjitkaur35@rediffmail.com Virat Rehani Assistant Professor Dept. of computer applications CTIMIT Jalandhar, India vrehani@yahoo.com Abstract— Health protection is the improvement of health via the diagnosis, treatment and prevention of disease, illness, injury, and other mental impairments in human beings. This system is based on Fuzzy Logic, adopting Mamdani model as the fuzzy inference mechanism and list of medical diseases. With diseases like swine flu and dengue fever, chicken pox, on the rise, which have symptoms, are so closely associated that it sometimes become practically Herculean task to differentiate between the above-scribed diseases based on symptoms. Thus, it becomes inevitable to design such a system that would closely monitor the symptoms and infer the disease based on fuzzy inference system. This work is done by assigning different coefficients to each symptom of a disease and to predict and quantify the severity impact of the recognized disease. For predicting, the cure time of a disease, based on the symptoms. Perdition of cure time is clinically based on hypothetic studies and to estimate the cure time of a disease based on the symptoms. This

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