Role Of Machine Learning Approaches In Epidemic Disease Prediction

Abstract

The global spread of epidemics has highlighted the urgent need for proactive and well-coordinated strategies at the national level. In the medical field, Machine Learning (ML), a sub-field of Artificial Intelligence (AI), is crucial in predicting and forecasting diseases and epidemics. With the current technological landscape, the adoption of ML-based solutions has become vital in mitigating the spread of pandemics. Modern technological solutions have been developed to combat pandemics, significantly improving the quality of life for individuals. This study aims to explore the promising application of ML approaches in managing pandemics effectively and providing support to affected individuals. The primary objective of this research is to develop an ML model capable of rapidly and accurately predicting pandemics, facilitating early and efficient responses.