Research and application of artificial intelligence in disease prediction

Abstract

Now, more and more diseases can be predicted by AI algorithms or early disease prediction, enabling patients to prepare for two kinds of physics. Because the utilitarian model of disease prediction is crucial for mankind to advance in medicine. We consider SVM(Support Vector Machine), random forest and neural networkCNNto be the proper methods to do the prediction based on the symptoms of Four diseases. SVM and Neural Network show better accuracy in the training. However, Random Forest has a slightly lower accuracy. We hope our method can be helpful in AI field.