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Prediction method and system of coronary artery lesion complication in Kawasaki disease

A prediction method and technology of a prediction system, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems that are not universally applicable, difficult to predict the complications of coronary artery injury in Kawasaki disease, and the total score difference is not statistically significant Significance and other issues, to achieve the effect of improving the probability of prediction, improving the speed of modeling, and strong reliability

Inactive Publication Date: 2017-12-01
SOOCHOW UNIV AFFILIATED CHILDRENS HOSPITAL +1
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  • Claims
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AI Technical Summary

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-mentioned Kawasaki disease coronary artery injury group and the non-coronary artery injury group, and it is difficult to predict the complications of coronary artery injury in Kawasaki disease

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  • Prediction method and system of coronary artery lesion complication in Kawasaki disease
  • Prediction method and system of coronary artery lesion complication in Kawasaki disease
  • Prediction method and system of coronary artery lesion complication in Kawasaki disease

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Embodiment Construction

[0055] The present invention will be described in detail below in conjunction with the embodiments shown in the drawings. However, the embodiments do not limit the present invention, and the structural, method, or functional changes made by those skilled in the art based on these embodiments are all included in the protection scope of the present invention.

[0056] Such as figure 1 As shown, figure 1 It is a method for predicting coronary artery injury complications of Kawasaki disease provided by the first embodiment of the present invention, and the method includes:

[0057] S1, collect and build 21 original parameters of the SVM model;

[0058] The original modeling parameters include: gender, age, fever time at visit, clinical classification, CRP detection value, WBC value, PLT value, Hb value, ALT value, AST value, ALB value, gamma globulin use time, and Clinical diagnosis symptom index; the clinical diagnosis symptom index includes: conjunctival hyperemia, skin rash, chapped ...

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Abstract

The invention provides a prediction method and system of coronary artery lesion complication in Kawasaki disease; the method comprises the steps of acquiring 21 original parameters for establishing an SVM (support vector machine) model, wherein the original parameters include sex, age, fever duration upon visiting, clinical type, CRP (C reactive protein) detected value, WBC (white blood cell) value, PLT (platelet) value, Hb (hemoglobin) value, ALT (alanine aminotransferase) value, AST (aspartate aminotransferase) value, ALB (albumin) value, gamma-globulin service time, and clinical diagnosis symptom indexes, and the clinical diagnosis symptom indexes include conjunctival congestion, rash, lip chap, strawberry-like tongue, lymphadenectasis of neck, scleredema of hand and foot, desquamation of finger and toe, desquamation around anus, and Bacillus Calmette-Guerin scar redness and swelling; discretizing the original parameters to obtain corresponding SVM feature values of the original values; using the SVM feature values as basic data to construct an SVM model, and using the SVM model to predict the coronary artery lesion complication in Kawasaki disease. The method and system of the invention can provide early interventional treatment for a patient to promote recovery of coronary artery lesions and are of important significance and value to the diagnosis and treatment of Kawasaki disease in future.

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: Kawasaki disease endothelial dysfunction (ECD) may be a new risk factor for coronary atherosclerosis and ischemic heart disease. Therefore, the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16H50/50
Inventor 吕海涛黎璇江振荣陈烨孙凌曹磊钱为国徐秋琴王波严文华沈洁
Owner SOOCHOW UNIV AFFILIATED CHILDRENS HOSPITAL
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