HBV classifying method based on Gaussian blur integrals

A technology of Gaussian fuzzy and classification methods, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve high test sensitivity, simplify the classification process, disease diagnosis and research assistance

Inactive Publication Date: 2015-09-30
SOUTH CHINA AGRI UNIV
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Problems solved by technology

The fuzzy integral itself also has great limitations. For example, the expression of the classical fuzzy measure is limited to the interval [0, 1], and the data that can be processed by the traditional fuzzy integral can only be obtained by projecting the integrand along a straight line to obtain the integral value. , but the actual data distribution is not purely linear

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  • HBV classifying method based on Gaussian blur integrals
  • HBV classifying method based on Gaussian blur integrals
  • HBV classifying method based on Gaussian blur integrals

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Embodiment

[0032] Such as figure 1 As shown, the present embodiment is based on the HBV classification method of Gaussian fuzzy integral, comprises the following steps:

[0033] S1. Screen the DNA sequences of HBV patients from the HBV database; the HBV database is an example from Welsh Hospital in Hong Kong, including 98 non-affected patients and 100 positive patients.

[0034] S2. The DNA sequences of HBV patients are carefully selected by biological experts to minimize the statistical deviation. The database can be divided into four small data sets B1, C1, C2 and C3 according to the clustering method, and the patients in each sub-database are shown in Table 1;

[0035] Table 1 HBV dataset description

[0036] sub-library ill no disease total B 51 37 88 C1 10 16 26 C2 18 22 40 C3 19 25 44 Total 98 100 198

[0037] S3. Classify the data set, relying on the classification of the classifier and the true category of the case, there...

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Abstract

The invention discloses an HBV classifying method based on Gaussian blur integrals. The HBV classifying method comprises the following steps that 1, DNA sequences of HBV patients are screened from an HBV database; 2, the database is divided into four small data sets B1, C1, C2 and C3 according to a clustering method; 3, the data sets are classified depending on classification of a classifier and true categories of cases; 4, the classifier constructed through the Gaussian blur integrals is applied to the HBV database and classifies HBVs. Based on the blur integrals of Gaussian distribution, Gaussian functions represent integrand functions to finish projections of the blur integrals, then linear classification is carried out according to virtual integral values obtained through the projections, the HBV classification precision is improved, and the HBV classification process is simplified.

Description

technical field [0001] The invention relates to the research field of classification prediction, in particular to a Gaussian fuzzy integral-based HBV classification method. Background technique [0002] At present, many problems in practical applications involve classification prediction, and researchers have extended from the original linear classifier to the use of nonlinear classifiers. The traditional fuzzy integral is an information fusion tool used to deal with nonlinear problems. The fuzzy integral itself also has great limitations. For example, the expression of the classical fuzzy measure is limited to the interval [0, 1], and the data that can be processed by the traditional fuzzy integral can only be obtained by projecting the integrand along a straight line to obtain the integral value. , but the actual data distribution is not purely linear. Contents of the invention [0003] The main purpose of the present invention is to overcome the shortcomings and defic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 王金凤王文中田绪红
Owner SOUTH CHINA AGRI UNIV
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