A risk early warning method for thalassemia based on rf

Abstract

The invention relates to an RF-based thalassemia risk early warning method, which belongs to the technical field of data mining 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 T, a collection of all samples; perform data preprocessing on the sample data set to obtain the algorithm Applicable data set DataSet; resampling the DataSet with Boostrap, randomly generating training samples Traindata, and using the Gini index method of the CART algorithm to select features, and constructing the random forest algorithm RF model; then, voting on the classification results of each decision tree DT, The voting majority is used as the risk assessment result; finally, the out-of-bag data Oob_dataset is used as the model input, and the early warning result is output as a reference for clinical diagnosis. The invention provides an RF algorithm for early warning of the risk of thalassemia, improves the accuracy and high efficiency of clinical diagnosis of children with thalassemia, can effectively avoid the birth of children with thalassemia, and plays a role in reducing the waste of medical resources.

Description

technical field [0001] The invention relates to an RF-based thalassemia risk early warning method, which belongs to the technical field of data mining 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 random forest 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 accumulatio...

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.

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