Predictive Analytics and Machine Learning in Public Health

Abstract

The impact of machine learning over the years has helped us make many daily tasks easier, which is why it has gained significant global relevance. One of the main issues addressed by technology and machine learning is public health, as various types of outbreaks can cause different kinds of epidemics. With the necessary technology, it becomes easier to identify and take the necessary measures to combat these outbreaks before they get out of control. The spread of diseases, especially when dealing with an unknown disease, can escalate considerably if appropriate measures are not taken promptly. This is why the impact that technological advances can have in this area is crucial for minimizing the impact of diseases on society. Machine learning can significantly aid in predicting different types of outbreaks, helping public health officials prevent large-scale spread and take preventive measures. Information used for comparisons and predictions can be processed more quickly, enhancing the ability to respond effectively to public health threats.