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
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[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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