Malaria and Dengue Disease Prediction Based On Blood Cell Image Using Machine Learning

Abstract

The health care environment is found to be rich in information, but poor in extracting data from the knowledge. This is often due to the shortage of effective analysis tool to get hidden relationships and trends in them. By applying the machine learning algorithms and techniques, valuable knowledge are often extracted from the health care system. Malaria and Dengue fever have condition affecting the structure and functions of body and has many root causes. We tend to area unit exploitation Deep Learning algorithms to extend the accuracy of Malaria and Dengue Disease prediction System. We also expand this technique to research the actual area to maximum patient were health is weak based on hospital patient data. It is enforced as desktop application during which user submits the heterogeneous data like image of blood cells symptoms. It retrieves hidden information from stored database and deep learning model and compares the user values with trained data set.