A Soft Computing Approach for Heart Disease Analysis
نویسندگان
چکیده
The aim of this study is to define a fuzzy based prediction system, that will accept the patient basic information as well as the symptoms as input and identify the chances of heart disease. The fuzzy based system is defined on multiple parameters based on which the patient disease analysis can be performed. The parameters taken in this work are Patient Age, Blood Pressure, Cholesterol Level and the Heart Beat. At the initial stage, as user input these parameters, the fuzzy interference engine process on it and identify the fuzzy values from the system. These fuzzified parametric information is maintained in the database. The fuzzification process is here presented in the form of fuzzy diagrams also. Once the patient fuzzified information is maintained in the database, patient or the Doctor can perform a query to identify the patients at different criticality level. For this, we have designed a user friendly input environment where a fuzzy query can be performed by specifying the parameter and the criticality level of the parameter. We have also defined the fuzzy engine by performing the different fuzzy operators while working with these all parameters.
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