Forecasting method of treating effect of interferon on treating chronic hepatitis B

A chronic hepatitis B and prediction method technology, applied in the field of interferon, can solve the problems of many factors affecting the curative effect of interferon and difficult quantitative evaluation of the curative effect of interferon, and achieve the effect of simple and fast process, convenient use and accurate results

Inactive Publication Date: 2010-12-08
ZHONGSHAN HOSPITAL XIAMEN UNIV
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for predicting the curative effect of interferon in the treatment of chronic hepatitis B with simple operation, convenient us

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  • Forecasting method of treating effect of interferon on treating chronic hepatitis B

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Embodiment Construction

[0021] The software package constituted by the present invention performs information interaction with the hardware carrier by means of the Matlab operating environment, performs information processing and obtains prediction results. The software package and Matlab operating environment are the software part. The software package contains two prediction methods, the scoring scale and the precise model. The prediction software is written in VBA language, and its construction process is as follows:

[0022] 1. Collect a relatively large number of e-antigen-positive CHB patients who have received interferon therapy and completed a course of treatment for more than 6 months. Each time, 90% of the samples are randomly selected as training samples, and the remaining 10% of the samples are used as test samples, repeated 300 times;

[0023] 2. Enter each patient’s treatment outcome factors (including gender, age, pre-treatment ALT, AST level, HBV DNA quantification, HBV genotype, int...

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Abstract

The invention relates to a forecasting method of the treating effect of interferon on chronic hepatitis B. The forecasting method comprises the following steps of: collecting information related to chronic hepatitis B patients; inputting treatment outcome influencing factors of the patients; dividing the treating effect evaluation into three classes; determining specific scores of all levels of the influencing factors by taking the influencing factors as independent variable and the treating effect as dependent variable and building a rating scale and a model; randomly dividing collected illness cases into a training set and a test set, building a rating scale and a model by taking the training set as a sample, and detecting the accuracy of the rating scale and the model by taking the test set as a sample; taking the Youden index which is shown as a formula: sensitivity+specificity-1 as the evaluation index of the rating scale and the accurate model performance, and when the Youden index takes a maximum value, prompting that the forecasting performance is optimal; and enabling the forecasting performance to be optimal by adjusting parameters of mutation rate, mating rate, sub-algebra generation, and the like of a genetic algorithm as well as parameters of kernel training parameters, outlier penalty coefficients, and the like of a support vector machine.

Description

technical field [0001] The invention relates to an interferon, in particular to a method for predicting the curative effect of the interferon in treating chronic hepatitis B (chronic hepatitis B, CHB). Background technique [0002] CHB is caused by hepatitis B virus (hepatitis B virus, HBV) infection. CHB is one of the most threatening diseases to human beings, and interferon and nucleoside (acid) analogs are its two main means. There are many factors affecting the curative effect, long course of treatment, high cost, and both advantages and disadvantages are the important characteristics of antiviral treatment. Before initiating antiviral therapy, two key questions must be clarified: whether a particular patient needs antiviral therapy, and which antiviral regimen may benefit more. Both of these issues are extremely challenging for physicians and patients. According to the report of the World Health Organization, there are 350 to 400 million HBV carriers and chronic infe...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 潘金水洪美珠方匡南毛乾国
Owner ZHONGSHAN HOSPITAL XIAMEN UNIV
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