Proactive Asthma Forecasting using Graph Neural Digital Twins
Abstract
Asthma is a problem that people have to deal with every day. It is a disease that affects the lungs
and airways. It can cause a lot of trouble. Sometimes people have to go to the hospital because
of it. It can make their life really hard. Asthma can be understood with the help of devices that
people can wear machines that can check the air and environment and computers that can think
like people. The old ways of predicting when asthma will get worse are not very good. They
only look at a things like what is happening in the body or what is in the air and they do not see
how all these things work together. This paper is about a way of predicting when asthma will
get worse. We call it the Graph Neural Digital Twin Framework. It is like a computer program
that looks at lots of things like what the body is doing what the air is like what kind of medicine
people are taking and even what the weather is like. It puts all these things into a map, like a
graph and then it uses that map to figure out when asthma might get worse. people can prevent
their asthma from getting worse. And it has another part that can explain why it made
predictions so people can understand what is going on. When we tested this program it worked
well. It was better than programs that are used for this kind of thing and it was very accurate. It
got the answer 98.76% of the time and it was very good at finding the people who were really
at risk.

