Prediction method and prediction system of irresponsive gamma globulin Kawasaki disease

Abstract

The invention provides a prediction method and prediction system of an irresponsive gamma globulin Kawasaki disease. The method comprises the following steps that 21 original parameters of SVM model building are collected; the modelling original parameters comprise gender, age, fever time during treatment, clinical classification, CRP detection value, WBC value, PLT value, Hb value, ALT value, AST value, ALB value, gamma globulin using time and clinical diagnosed symptom indicators; the clinical diagnosed symptom indicators comprise conjunctival injection, erythra, cracked lips, a strawberry-like tongue, lymphadenectasis of a neck, hard and swollen hands and feet, digit peeling, crissum peeling and a red and swollen bacillus calmette-guerin scar; discretization is conducted on the original parameters to obtain SVM characteristic values corresponding to the original parameters; the SVM characteristic values are regarded as base data, a SVM model is built, and through the SVM model, a complication with irresponsive gamma globulin of the Kawasaki disease is predicted. By means of the prediction method and prediction system, early intervening treatment can be conducted on a patient, recovery of damage to a coronary artery is promoted, and the prediction method and prediction system have important significance and value on diagnosis and treatment of the Kawasaki disease in the future.

Description

technical field [0001] The invention belongs to the field of ultrasonic diagnostic imaging, and relates to a prediction method and a prediction system for gamma globulin non-responsive Kawasaki disease. Background technique [0002] Kawasaki disease (Kawasaki disease, KD) is a systemic vasculitis syndrome that occurs in young children. It was reported for the first time in 1967 by the Japanese scholar Tomisaku Kawasaki. A large number of epidemiological investigations have shown that the disease has the characteristics of a high incidence in Asian populations, obvious seasonality, a high incidence in males, and a high incidence in infants and young children. Kawasaki disease is currently recognized internationally as the first cause of acquired heart disease in children. In 2004, the American Heart Association proposed based on evidence-based medicine that endothelial dysfunction (ECD) in Kawasaki disease may be a new risk factor for coronary atherosclerosis and ischemic h...

AI Technical Summary

Problems solved by technology

The incidence of Kawasaki disease patients of various races is different, and there are differences in different regions. There is no statistically significant difference in the individual indicators and the total score. It is difficult to predict the complications of gamma globulin unresponsiveness in Kawasaki disease

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