Construction method and construction system of Kawasaki disease risk assessment model

A technology of risk assessment model and construction method, applied in medical simulation, medical data mining, medical automatic diagnosis, etc., can solve problems such as lack of specificity, delay in patient treatment, etc., to achieve outstanding advantages, reduce the cost of testing, and shorten the diagnosis. effect of time spent

Active Publication Date: 2019-01-25
DAOZHI PRECISION MEDICINE TECH SHANGHAI CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to insufficient sensitivity and specificity, patients with Kawasaki...

Method used

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  • Construction method and construction system of Kawasaki disease risk assessment model
  • Construction method and construction system of Kawasaki disease risk assessment model
  • Construction method and construction system of Kawasaki disease risk assessment model

Examples

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Embodiment 1

[0107] In order to verify the effectiveness of the system for constructing a Kawasaki disease risk assessment model of the present invention, this example selects 42,498 patient data in the electronic case from July 2008 to March 2018.

[0108] 1. Data processing:

[0109] 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.

[0110] 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.

[0111] Table 1

[0112]

[0113] 2. Optimal model data

[0114] The incomplete data set is randomly divided into training set (5742), verification set (2462),...

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Abstract

The invention discloses a construction method and construction system of a Kawasaki disease risk assessment model. The construction method includes the following steps that: valid samples that can beused for modeling evaluation are extracted from a sample data set; 10 features that meet on-site medical auxiliary diagnosis application are extracted 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 random forest method is used to fit the training set so as to perform model construction, and optimal model parameters are recorded according to out-of-bag error; and a model classification threshold t is calculated with the verification set according to an ROC curve, so that the Kawasaki disease risk assessment model can be constructed. The assessment model constructed by using the construction method and construction system of the invention can quickly and effectively perform auxiliary assessment on patients with suspected Kawasaki disease, and can help reduce the misdiagnosis rate and missed diagnosis rate of the patients, and therefore, the patients can obtain effective prevention,intervention and treatment in the early stage of the disease, and basis can be provided for the achievement of optimal treatment effects.

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 time dominance and a random forest 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 mucocutaneous lymph node syndrome, is an autoimmune disease with systemic vasculitis as the main lesion, and has affected more than 60 countries around the world. Among them, the coronary artery is more likely to be involved, and it is a febrile eruptive disease of unknown cause. Kawasaki disease mainly manifests as persistent fever for more than 5 days, and also includes: (1) Symptoms of conjunctival congestion in both eyes, but no exudation (2) redness of the lips, red bayberry tongue, and diffuse congestion of the oral and pharyngeal mucosa; (3) erythema m...

Claims

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Application Information

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IPC IPC(8): G16H50/50G16H50/70G16H50/20
CPCG16H50/20G16H50/50G16H50/70
Inventor 丁国徽贾佳李光徐重飞宁倩倩周珍
Owner DAOZHI PRECISION MEDICINE TECH SHANGHAI CO LTD
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