Medication correlation analysis for outbreak prediction

Outbreak prediction is a way to predict the epidemic potentials of diseases using pattern medication sales values. Successful might result in being cautious outbreak and taking necessary measures prevent predicted outcome. As values are too random, analysis correlation one most interesting challenging parts for researchers. The major objective this proposed research method analyze drug certain period pharmaceutical company statistical methods. It also intent make comparative output generated by deep learning model with real month. Our successfully predicts potential competent accuracy, so that we will have enough time take precautions future pandemics through precautionary measures.