Calculation method and device for relationship between high-risk hpv type and cervical precancerous lesion stage

Abstract

The present invention provides a method and device for calculating the relationship between high-risk HPV types and the stage of cervical precancerous lesions. The data of N types of high-risk HPV infection in the stage of precancerous lesions are classified and sorted, and the pre-processing data of HPV infection under different infection modes are obtained; cluster analysis is performed based on the HPV pre-processing data, and different high-risk HPV types are obtained based on the cluster analysis results Based on the HPV pretreatment data under the single infection and multiple infection mode, the Poisson distribution modeling is carried out, and regression analysis is carried out to obtain the impact ratio of HPV single infection and multiple infection on cervical precancerous lesions. The method combines clustering technology and statistical analysis method to mine biological data, and discovers the relationship between different high-risk HPV types and different stages of cervical precancerous lesions.

Description

technical field [0001] The invention relates to a method for mining and researching the relationship between different high-risk HPV types and cervical precancerous lesion stages by combining biomedical data, using computer data mining technology and statistical analysis technology, especially involving a high-risk HPV type and A calculation method and device for the stage relationship of cervical precancerous lesions. Background technique [0002] Cervical cancer, as the fourth most common tumor threatening women's health in the world, has been confirmed by research to be mainly caused by human papillomavirus (HPV). According to the report, cancer cases associated with HPV infection account for 4.5% of the total number of new cancers worldwide, and cervical cancer accounts for 83% of these HPV infection-related cancers, which poses a serious threat to women's health, especially in developing countries. a great threat. Epidemiological studies have shown that N HPV types (t...

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Problems solved by technology

However, due to the prevalence of some HR-HPV types in the same precancerous lesion stage will be significantly higher than other HR-HPV types; and for the same HR-HPV, the subtype in different precancerous Prevalence rates are also not consistent within the lesion stage group, so it is controversial to use the total precancerous lesion stage data to describe the infection relationship between HR-HPV types and precancerous lesion stage

[0004] On the other hand, at the level of HPV multiple infection, it is not clear whether multiple infection (infection with two or more HPV types) has a greater impact on the risk of cervical cancer than single infection (infection with only one HPV type) Big

Many scholars have studied this. For example, Chaturvedi et al. studied the co-infection mode of 25 HPV genotypes and calculated the odds ratio (OR) of each genotype combined with 24 other genotypes. The results showed that multiple The risk of infection is close to the sum of the estimated risks of individual types, and there is little evidence of synergistic interactions between HPV genotypes; however, the findings of Ying et al. mono-infected women

It may be due to the differences in the HPV types, patient age and other related factors collected in these different multiple infection studies, which led to inconsistent conclusions on the risk of multiple infections causing cervical lesions

In addition, most previous studies mainly used cohort analysis methods without considering the use of regression models to study the impact of single infection and multiple infection of different HPV types at different stages of precancerous lesions

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