A method and system for constructing a Kawasaki disease risk assessment model based on boosting algorithm
A technology for risk assessment models and construction methods, applied in medical simulation, medical data mining, computer-aided medical procedures, etc., can solve the problems of delayed patient treatment, lack of specificity, etc. The effect of delaying patient treatment conditions
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[0109] In order to verify the effectiveness of a system for constructing a Kawasaki disease risk assessment model based on the Boosting algorithm of the present invention, this example selects 42,498 patient data in the electronic case from July 2008 to March 2018. This embodiment adopts the xgboosting method.
[0110] 1. Data processing:
[0111]After the original data set is deleted, the incomplete data set includes 8204 samples, and the complete data set contains 471 samples. According to the present invention, the data set has the form: each row represents information of a patient, and each column represents a characteristic information, such as ID, group, gender, age, CRP, FG, etc., and the format of the data set is as Table 1.
[0112] Through data sample selection and feature screening, the final generated data set contains 8675 rows and 11 columns of features, as shown in Table 1.
[0113] Table 1
[0114]
[0115] 2. Optimal model data
[0116] The incomplete d...
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