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目的使用决策树中分类方法C5.0的算法模型探讨甘肃省乙型病毒性肝炎感染的危险因素。方法根据乙肝病毒感染标志结果阳性与否,建立决策树C5.0模型,使用SPSS Clementine进行数据挖掘和分析。结果乙肝病毒感染阳性率达27.39%,未接种过乙肝疫苗、有口腔诊疗史、有针灸治疗史等因素的乙肝病毒感染阳性率较高。结论目前无乙肝疫苗接种史,且存在口腔诊疗史和针灸治疗史的人群为乙肝病毒感染高危人群。
Objective To explore the risk factors of hepatitis B virus infection in Gansu Province by using the algorithm of classification method C5.0 in decision tree. Methods Based on the positive results of hepatitis B virus (HBV) infection markers, a model of decision tree C5.0 was established and the data mining and analysis were done by SPSS Clementine. Results The positive rate of hepatitis B virus infection was 27.39%. The unvaccinated hepatitis B vaccine had a history of oral diagnosis and treatment, and the history of acupuncture treatment had a high positive rate of hepatitis B virus infection. Conclusion There is no history of hepatitis B vaccination, and there is a history of oral treatment and history of acupuncture treatment for hepatitis B virus infection in high-risk groups.