An outbreak happens when there is a sudden increase in illness at unexpected high numbers. If we could predict the
outbreaks earlier we can take proper planning to avoid the outbreaks. We developed a model ‘OUTBREAK PREDICTION OF
DENGUE AND HEPATITIS A USING MACHINE LEARNING’ which can be put to use as an early warning tool. In this
study we use two data mining classification algorithms Support Vector Machine (SVM) and Artificial Neural Network (ANN)
are used to forecast or predict an outbreak. The used datasets contains parameters like average estimates of rainfall, respective
Temperature, atmospheric moisture or Humidity, Total amount of positive cases and outbreak occur in binary values Yes or No.
In this paper, we have not only sought to establish a relationship between climatic components and a possible Outbreak of
dengue and hepatitis A, but we also tried to find out which algorithm can be ideal for developing discovered relationships
