A risk early warning method for thalassemia based on cs-rf

Abstract

The invention relates to a risk early warning method for thalassemia based on CS‑RF, and belongs to the technical field of data mining and prediction. First, establish a database of electronic ledger data records, use the subject's blood sample number as the identifier ID, and the corresponding inspection record as a sample S; perform data preprocessing on the sample data set, and obtain the data set DataSet applicable to the algorithm. The data set contains N samples and M features, and the DataSet is divided into a training set Traindata and a test set Testdata with a ratio of 3:1; then, use the cuckoo search algorithm (CS) to optimize parameters and initialize to form a random forest (RF) decision tree number ntree and segmentation attribute mtry; randomly select training samples to train the decision tree DT to form an optimized RF-CS model; vote on the classification results of each decision tree, and vote the majority as the risk assessment result; Finally, the test data testdata is used as the model input, and the early warning result is output as a reference for clinical diagnosis.

Description

technical field [0001] The invention relates to a risk early warning method for thalassemia based on CS-RF, and belongs to the technical field of data mining and prediction. Background technique [0002] Thalassemia Disease (TD) is a marine, globin gene-deficient and recessively inherited disease that occurs mostly in the Mediterranean coast, especially in Yunnan (10%), Guangdong and other places in my country. Among them, children with severe thalassemia are in danger of dying immediately or before the age of six, which has caused a heavy blow to the families of the children. [0003] The early warning method based on the CS-RF algorithm can assist diagnosis, help reduce misdiagnosis rate, save medical resources, etc., and further guide its subsequent diagnosis and treatment process. At present, there have been cases of bone marrow stem cell transplantation, but the post-treatment effect is not good. In addition, the research on thalassemia basically stays on the accumula...

AI Technical Summary

Problems solved by technology

Moreover, the algorithm has been widely used in various fields such as business and network security, but it has not been applied to the field of thalassemia.

Images