PREDICTING DISEASE OUTBREAKS USING AI AND BIG DATA: A NEW FRONTIER IN HEALTHCARE ANALYTICS

Abstract: Disease forecasts how many people can be infected and die if no medicines and vaccines have been issued and offered to the population free of charge; if less than 70% of the population takes them, many will die in a short time in an outbreak. Many times, a few pockets of unvaccinated individuals will remain, thus necessitating 100% global vaccination. The risk can then lead to the development of appropriate overall clinical care and critical care for the first wave of people caught up in the outbreaks. The global distribution of resources, including such basic goods, is not in question in this short essay. A forecast for more than 300 diseases is possible using human biology, dry laboratory work, and artificial intelligence. However, this predictive health care with precise timing for the start of the disease is still experimental, due to the lack of financial support for such research. The "frontiers of science and medicine" are often overlooked by university and government agencies when they do not have financial means or thought leaders to enforce their use.This essay addresses the use of AI and Big Data in predicting disease outbreaks in a given area of a country or globally. This is a relatively new area for healthcare analytics, an expansion of what is today an extremely important component of the field. The predictive advantage of such a tool is that it will enable the world's governments to pre-order vast quantities of vaccines and antivirals once a forecast is made, thereby protecting the planet from the new contagious disease. Currently, a major disease outbreak and local epidemics can be contained if full doses of these products are delivered to 70% of the world's population within 20 to 30 days of the earliest clinical symptoms of infection. These pre-ordered vaccines and drugs can be kept in a chest somewhere in each country and region, with a "best before" date of three to four years. Thus, this is a project to protect the lives of all people in the world.