Malaria and Dengue Classification System using Machine Learning
Pages : 1037-1041
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Abstract
The health care environment is found to be rich in information, but poor in extracting knowledge from the information. This is because we don’t having effective and efficient tools and methods. By applying the latest technology like machine learning algorithms and techniques and methods valuable knowledge can be extracted from the health care system can be very useful for further enhancement. Malaria and Dengue have a lots of bad syndromes which can harm human body very badly. We are using Deep Learning algorithms to increase the accuracy of Malaria and Dengue Disease prediction System. It is implemented as desktop application in which user submits the heterogeneous data like text and image of blood cells symptoms. It retrieves hidden data from stored database and deep learning model and compares the user values with trained data set.
Keywords: Machine Learning, Disease prediction, Malaria, Dengue.