In this era, the moment has arrived to move away from disease as the
primary emphasis of medical treatment. Although impressive, the multiple
techniques that have been developed to detect the diseases. In this time, there
are some types of diseases COVID 19
normal flue, migraine, lung disease,
heart disease, kidney disease, diabetics, stomach disease, gastric, bone
disease, autism are the very common diseases. In this analysis, we analyze
disease symptoms and have done disease predictions based on their
sy
mptoms. We studied a range of symptoms and took a survey from people
in order to complete the task. Several classification algorithms have been
employed to train the model. Furthermore, performance evaluation matrices
are used to measure the model's perfor
mance. Finally, we discovered that the
part
classifier surpasses the others
.