3 months ago prediction software developed for dengue wounds

Dengue disease has become a threat to the world right now. 
Malaysia: Artificial Intelligence (ART Intelligence Fusion) will be widely used to understand the spread of the immune system in the world, but for the first time in Malaysia has a computer program started a job that warns against three months ago , after the spread of dengue. can do.
Outside of a state in Malaysia, this system is tested in many cities in Asia and Latin America. This software based on artificial intelligence notes hundreds of factors in its prediction and on the basis of their awareness of the potential dangers of dengue fever. These factors include building construction, swimming pools or open-water cabins, temperature, wind speed and destruction in related areas.
Moreover imposed more responsible for the spread of dengue in mosquitoes worldwide called "AIDS Eczeptie" but Pakistan is mosquitoes "AIDS" ALPIPTICS also are likely to cause the spread of dengueforstyrrelser. Dengue fever has spread rapidly around the world, with half of the world currently suffering from torture. Every year, millions of people suffer and enter five million hospitals, while 13,000 people die.
Only $ 30 million is spent on dengue mosquitoes in Asia, while South American countries spend $ 1 billion a year on purchases. This software is a Malaysian expert, Dushanbe, which was developed by his colleagues.
Raja says genetically modified (GM) spirits, larvae and mice are also used to control dengue, but they have implemented a real-time risk assessment program. .
This software has been called "Artificial Intelligence in the Demolition of Medical Application" (AIME). As soon as the doctor reports something about dengue, he goes to the database. The software then evaluates 276 factors and also records the 90 existing databases. Then, the software predicts dengue wounds in the 400 square meters.
It has been used in the city of Manila, Brazil Riyadh, Geneva and Malaysia, the Philippines, where the dengue virus predicts 81-84%, but its data is not yet published.
Professor Oliver Broady, a professor at the London School of Heigen and Traditional Medicine, says that this machine learning system is better for a while, but over time it saves its value because dengue process starts there and then protect again. All items must be entered into the database.
However, Dhanshi Raja said that his software was used in part of Malaysia and that there was a 75% decrease in dengue cases.