Comparative Study on Classification Algorithms for Disease Prediction
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Abstract
Data Mining plays an important role in data analysis process intended to discover data. There is huge amount of medical data but there is lack of powerful analysis tools to discover the hidden relationships and trends within the data. A disease prediction system forecasts the presence of a disease in a patient based on their symptoms. Also, it will recommend essential preventive measures required to treat the disease predicted. Application of data mining in disease prediction helps to predict the most possible disease based on the given symptoms and can avoid the aggression of disease. This paper presents a comparative study on application of classification algorithms for disease prediction. The Findings show that the proposed system can predict disease with an accuracy of 95.67%.
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