The flu is the sort of disease that people think is not that big of a deal. However, the fact of the matter is that tens of millions suffer from it every year, and hundreds of thousands of people end up having to get emergency medical care due to symptoms caused by the influenza virus. Flu still causes tens of thousands of deaths a year, so it’s fair to say that humanity has not achieved optimal efficiency in terms of preventing this virus from having too much on an impact on our day to day lives.
One of the best ways to prevent flu outbreaks from getting out of control and causing severe problems is by predicting when they are about to happen. This can be quite difficult to do, but through the use of artificial intelligence that utilizes data collected through Google trends, the prediction of incoming flu outbreaks may start to become a lot easier.
This AI supplemented predictive analysis is currently being tried out by scientists working at the University of Tokyo. Using a sequence to sequence AI model, the scientists ascertained how many people were searching for flu related topics. Using this data along with various other forms of information, these scientists may be able to predict flu outbreaks during their early stages.
The main benefit of this technology is that it will inform the appropriate authorities about how many flu vaccines need to be arranged, and the overall impact of flu outbreaks can end up being reduced by a significant margin. This is just one of the many ways in which technology is improving our lives on a day to day basis.
Read next: Now you can prevent cats from bringing dead animals to your home via AI technology
One of the best ways to prevent flu outbreaks from getting out of control and causing severe problems is by predicting when they are about to happen. This can be quite difficult to do, but through the use of artificial intelligence that utilizes data collected through Google trends, the prediction of incoming flu outbreaks may start to become a lot easier.
This AI supplemented predictive analysis is currently being tried out by scientists working at the University of Tokyo. Using a sequence to sequence AI model, the scientists ascertained how many people were searching for flu related topics. Using this data along with various other forms of information, these scientists may be able to predict flu outbreaks during their early stages.
The main benefit of this technology is that it will inform the appropriate authorities about how many flu vaccines need to be arranged, and the overall impact of flu outbreaks can end up being reduced by a significant margin. This is just one of the many ways in which technology is improving our lives on a day to day basis.
Read next: Now you can prevent cats from bringing dead animals to your home via AI technology
