Systems powered by this artificial intelligence can examine hundreds of parameters, ranging from wind speed and local rooftop architecture to predict where dengue season will occur.
AIME system (Artificial Intelligence in Medical Epidemiology) was designed by Dhesi Raja of the Malaysian Medical Research Institute. He built this system with Rainier Mallol, who served as President of AIME.
"There is a need for us to do some sort of prediction in real-time, a need to get into a system to see the number of cases reported today, where the case, where the outbreak, where predictions of the outbreak will come," said Dhesi.
Through this system, AIME can see where a dengue outbreak somewhere will be "transmitted" to another place within a 400-meter radius.
Doctors in a region can immediately send notifications during dengue fever, then AIME system searches from 90 databases and 276 variables that affect the spread of the disease.