Intelligent and credible tumor disease auxiliary diagnosis method

The invention relates to the field of disease diagnosis, and discloses an intelligent and credible tumor disease auxiliary diagnosis method which comprises the following steps: step 1, constructing a tumor disease index importance analysis system; 2, establishing a tumor disease auxiliary diagnosis rule based on a confidence expert system; 3, reasoning the tumor disease auxiliary diagnosis method based on the evidence reasoning analysis algorithm; 4, model parameters are updated based on a natural evolution optimization algorithm, so that the model can be excellently expressed in training and testing data, the accuracy and credibility of tumor disease diagnosis are improved, a plurality of related binary classification problems can be jointly solved by using a multi-layer confidence rule base method, the accuracy and robustness of classification are improved, and the accuracy and reliability of tumor disease diagnosis are improved. Compared with a traditional binary classification method, the multilayer belie