基于Logistic回归对过敏性疾病影响因素的计量分析

Measurement Analysis of Influencing Factors of Allergic Diseases Based on Logistic Regression

目的针对环境恶化引发过敏性疾病的产生原因及影响因素,运用定性定量分析相结合的方法建模,寻找与过敏性疾病相关的主要因素进行研究,并给出减少诱发过敏性疾病的建议。方法运用图像拟合和多分类Logistic回归方法对过敏性疾病与季节、年龄等影响因素进行分析,寻找过敏性疾病变化规律。运用多元回归及灰色预测等方法,研究环境保护指标与过敏原之间的相关关系。结果过敏性疾病发病率与温度有关夏季明显高,皮肤科就诊人数比例最高,性别差别不大,与年龄有一定关系,对皮肤病影响较大。结论提高了所求变量间相关性的准确程度,有效区分了不同过敏程度之间的差异性,使计算结果更加准确。

Objective For the causes and influencing factors of allergic diseases caused by environmental deterioration,the method of qualitative and quantitative analysis modeling was used to find the main factors of allergic diseases,and suggestions to reduce induced allergic diseases were put forward.Methods Image fitting and multi-class Logistic regression were used to analyze the influencing factors of allergic diseases,such as seasons,ages,etc.,to find the changing laws of allergic diseases.Multiple regression and grey prediction methods were used to study the correlation between environmental protection indicators and allergens.Results The incidence of allergic diseases was significantly higher in temperature-related summer,and the proportion of person seeing dermatologists was the highest with little gender difference.It had a certain relationship with age and had a greater impact on skin diseases.Conclusion The accuracy between the variables is improved.It can effectively distinguish the differences between different allergic degrees and make the calculation more accurate.