Prediction method and prediction system for gamma globulin non-reactive Kawasaki disease

Abstract

The invention provides a prediction method and system for a gamma globulin non-reactive Kawasaki disease. The method comprises the following steps of collecting 21 original parameters of an SVM model, wherein the original parameters for modeling include gender, age, fever time during doctor seeing, clinical classification, a CRP detection value, a WBC value, a PLT value, an Hb value, an ALT value, an AST value, an ALB value, gamma globulin usage time and clinical diagnosis symptom indexes, and the clinical diagnosis symptom indexes include conjunctival congestion, rash, cracked lips, strawberry-like tongue, neck lymphadenectasis, hand and foot scleredema, digit desquamation, perianal desquamation and vaccinated scar redness and swelling; performing discretization processing on the original parameters to obtain SVM eigenvalues corresponding to the original parameters; and building the SVM model by taking the SVM eigenvalues as basic data, and predicting gamma globulin non-reactive complications of the Kawasaki disease through the SVM model. According to the prediction method and system, patients can be subjected to early intervention treatment, thereby facilitating coronary artery injury recovery; and the prediction method and system has important significance and value for diagnosis and treatment of the Kawasaki disease.

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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