Disease classification methods

Background and Aim Data mining methods come in various types, ranging from regression to complex pattern detection methods with high computational costs rooted in computer science. The main goal of learning methods (data mining) is to make predictions. However, this is not the only goal of data mining. Data mining methods are used in the long process of research and product development.In this research, after data preparation, disease prediction has been attempted using large matrix methods and data mining techniques. By examining the new vector, we can find out which of the diseases in the matrix will be closer to this new disease with new symptoms using the rows of the matrix. The conducted research is one of descriptive-analytical and applied studies.In the algorithm implemented by Python software, the doctor enters the symptoms of the patient and the program output of each meter shows three diseases close to the input symptoms and finally all the meters are compared and each time the meter is executed, which has a weaker result is determined. The advantages of each of these meters are explained below..

کلیدواژه ها:

prediction ، classification ، disease ، data mining ، prediction of diseases