Heart Disease Detection: A Neural Networks Application
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 7
Abstract
The heart is the most vital organ in the human body. Any heart related disease can be very harmful and can often lead to death if not treated properly in the early stages. Therefore if heart diseases can be diagnosed as soon as possible, the doctor could immediately begin with the treatment. Also, that would mean less suffering time for the patient. To predict a heart disease or a type of heart disease the doctors needs to run a couple of tests before reaching a conclusion. These tests might cost a lot of money and might require advanced technology. Every patient might not be able to afford the tests. Also the technology used is available mainly in urban areas. Artificial Neural Networks provide an economical and accurate approach to diagnose heart diseases. Using Neural Networks we have developed a system that could predict the absence or presence of heart disease. This paper deals with the analysis of parameters of Error-Back Propagation algorithm that would provide the best accuracy for diagnosing heart disease in a patient. The system uses 13 attributes of a patient as input. The system diagnoses heart disease with an accuracy of 88.5%.
Authors and Affiliations
Chaitanya Roygaga, Suraj Punjabi, Swapnil Sampat, Ms. Tanuja Sarode
Keywords
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