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基于决策树的盆腔炎性疾病后遗症影响因素分析
作者姓名:陈志霞
作者单位:广东省中医院, 广东 广州 510120
基金项目:广东省中医药局科研课题(20141097)。
摘    要:目的 研究盆腔炎性疾病后遗症的相关影响因素及影响因素之间的关系,为临床诊治及预防提供参考。方法 根据文献研究,设计统一的临床流行病学调查表格,于2015年6月~2015年11月对广东省中医院妇科门诊或住院患者中符合诊断标准的盆腔炎性疾病后遗症患者和佛冈县中医院的健康女性进行调查,收集信息并建立数据库,利用决策树算法分析盆腔炎性疾病后遗症的相关影响因素及影响因素之间的关系。结果 在放入决策树模型调查的24个因素中,筛选出6个相关因素。其分层交叉验证模型识别正确率为83.50%。结论 结果表明,基于决策树的盆腔炎性疾病后遗症影响因素模型能较好地区分影响因素的重要性。根据诊断规则,既往有手术史、湿热质、血瘀质、既往有流产史、剖腹产史、平素饮食喜欢肥甘厚味可能是其主要影响因素。

关 键 词:盆腔炎性疾病后遗症  决策树  中医体质  湿热体质  血瘀体质  手术史  饮食
收稿时间:2016/1/28 0:00:00

Analysis of the Influencing Factor Model for Sequelae of Pelvic Inflammatory Disease based on Decision Tree
Authors:CHEN Zhixia
Institution:Guangdong Hospital of TCM, Guangzhou, Guangdong 510120, China
Abstract:Objective To study the related influencing factors and the relation between factors of sequelae of pelvic inflammatory disease,and provide reference for clinical diagnosis and prevention.Methods According to the literature research,a unified epidemiological survey form was designed.The conformed diagnosis criteria of patients with gynecological clinic or hospitalized patients with pelvic inflammatory disease in Guangdong Hospital of TCM from June 2015.06-2015.11 were invesigated.The related factors affecting the sequelae of pelvic inflammatory disease were analyzed by using decision tree algorithm.Results Six relevant factors are picked from the 24 factors based on decision tree.The correct recognition rate of layer cross validation model is for the 83.50%.Conclusion The results showed that the influence factors of pelvic inflammatory disease sequelae based on decision tree model can well distinguish the importance of influencing factors.According to the diagnostic rules,the main influencing factors are probably a history of surgery,dampness heat,blood stasis,previous history of abortion and cesarean section history,the habits of eating fat and oil food.
Keywords:sequelae of pelvic inflammatory disease  decision tree  TCM constitution  damp heat constitution  blood stasis constitution  operation history  diet
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