Prediction method and prediction system for coronary artery damage complication of kawasaki disease

Abstract

The invention provides a prediction method and prediction system for the coronary artery damage complication of the kawasaki disease. The method comprises the following steps that: collecting 21 items of original parameters for establishing an SVM (Support Vector Machine) model, wherein the original modeling parameters comprise genders, ages, fever time during doctor seeing, clinical classification, CRP (C Reactive Protein) detection values, WBC (White Blood Cell) values, PLT (Platelet) values, Hb (Hemoglobin) values, ALT (alanine aminotransferase) values, AST (aspartate aminotransferas) values, ALB (albumin) values, gamma-globulin service time and clinic diagnosis symptom indexes, and the clinic diagnosis symptom indexes comprise conjunctival injection, rash, cracked lips, raspberry tongues, lymphadenectasis of neck, hand and foot scleredema, digit peeling, crissum peeling and vaccinated scar inflammation; carrying out discretization processing on the original parameter to obtain an SVM feature value corresponding to the original parameter; taking the SVM feature value as basic data to construct an SVM model, and predicting the coronary artery damage complication of the kawasaki disease through the SVM model. By use of the method, patients can be subjected to early-stage intervention treatment, the recovery of the coronary artery damage is accelerated, and the method has an important meaning and value for the diagnosis and treatment of the kawasaki disease.

Description

Technical field [0001] The invention belongs to the field of ultrasound diagnostic imaging, and relates to a predicting method and a predicting system of coronary artery injury complications of Kawasaki disease. Background technique [0002] Kawasaki disease (Kawasakidisease, KD) is a systemic vasculitis syndrome that occurs in young children. The first report was made by Japanese scholar Tomi Kawasaki in 1967. A large number of epidemiological investigations have shown that the disease has the characteristics of predominance in Asian populations, obvious seasonality, high incidence in men, and high incidence in infants and young children. At present, Kawasaki disease is 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 Kawasaki disease endothelial dysfunction (ECD) may be a new risk factor for coronary atherosclerosis and ischemic heart disease. Therefore,...

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Problems solved by technology

[0006] However, foreign studies are not universally applicable; there is no statistically significant difference in the individual indicators and total scores between the above-mention

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