Logistic algorithm-based construction method of Kawasaki disease risk assessment model and construction system

A technology of risk assessment model and construction method, which is applied in health index calculation, computer-aided medical procedures, medical automated diagnosis, etc., can solve the problems of insufficient specificity and delay of patient treatment, achieve outstanding advantages, reduce the cost of detection, and prevent Effect of treatment condition

Active Publication Date: 2019-01-15
DAOZHI PRECISION MEDICINE TECH SHANGHAI CO LTD
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Problems solved by technology

Due to insufficient sensitivity and specificity, patients with Kawasaki di

Method used

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  • Logistic algorithm-based construction method of Kawasaki disease risk assessment model and construction system
  • Logistic algorithm-based construction method of Kawasaki disease risk assessment model and construction system
  • Logistic algorithm-based construction method of Kawasaki disease risk assessment model and construction system

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Embodiment 1

[0111]In order to verify the validity of the construction system of the Kawasaki disease risk assessment model based on the logistic algorithm of the present invention, the time range of this embodiment is 42498 patient data in the electronic case from July 2008 to March 2018. This example adopts the logistic method.

[0112] 1. Data processing:

[0113] 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.

[0114] 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.

[0115] Table 1

[0116]

[0117] 2. Optimal model data

[0118] The inco...

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Abstract

The invention discloses a logistic algorithm-based construction method of a Kawasaki disease risk assessment model and a construction system. The construction method includes the following steps that:valid samples that can be used for modeling evaluation are extracted from a sample data set; 10 features that meet on-site medical assistance diagnosis are screened out from the feature set of the valid samples; the incomplete data set of the valid samples is randomly divided into a training set and a verification set; a logistic method is adopted to fit the training set, so that model construction can be performed, a cross-validation method is adopted to adjust a fitting function, optimal model parameters are recorded; and the verification set is adopted to calculate a model classification threshold t according to an ROC curve, and therefore, the Kawasaki disease risk assessment model can be constructed. According to the invention, a corresponding Kawasaki disease risk assessment systemfor evaluating data to be evaluated is constructed, so that a KDx score is obtained. With the method and system of the invention adopted, the reduction of the misdiagnosis and missed diagnosis of Kawasaki disease can be benefitted, and patients can obtain effective prevention, intervention and treatment in the early stage of the disease.

Description

technical field [0001] The invention relates to a method for constructing a model, in particular to a method for constructing an assessment model for predicting Kawasaki disease risk based on a logistic algorithm, a construction system, and an assessment system, which belong to the technical field of risk assessment model construction. technical background [0002] Kawasaki disease, also known as Pediatric Mucocutaneous Lymph Node Syndrome, is an acute febrile and eruptive disease with systemic vasculitis as the main lesion. disease has attracted people's attention. The most common symptom of Kawasaki disease is persistent fever. Its clinical manifestations are similar to those of common diseases such as pneumonia. It is easy to cause missed or misdiagnosed diseases, which may leave coronary artery damage and even threaten life. It is the most common cause of acquired heart disease in children, and it is also Risk factors for hemorrhagic heart disease. The timing of treatm...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/30
CPCG16H50/20G16H50/30
Inventor 丁国徽贾佳李光徐重飞周珍
Owner DAOZHI PRECISION MEDICINE TECH SHANGHAI CO LTD
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